#importing python packages
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import datetime as dt
import seaborn as sns
from sklearn.preprocessing import StandardScaler
from sklearn.cluster import DBSCAN,AgglomerativeClustering,KMeans
from sklearn.metrics import silhouette_score
import plotly.graph_objs as go
import itertools
from sklearn.preprocessing import OneHotEncoder
#setting pandas max rows option
pd.set_option('display.max_rows', 10000)
#seaborn size and palette config
sns.set(rc={'figure.figsize':(20,10)})
sns.set_palette("husl", 9)
#reading csvs in dfs
customers_df = pd.read_csv('olist_customers_dataset.csv')
items_df = pd.read_csv('olist_order_items_dataset.csv')
payments_df = pd.read_csv('olist_order_payments_dataset.csv')
orders_df = pd.read_csv('olist_orders_dataset.csv')
products_df = pd.read_csv('olist_products_dataset.csv')
sellers_df = pd.read_csv('olist_sellers_dataset.csv')
categories_df = pd.read_csv('product_category_name_translation.csv')
customers_df.head()
| customer_id | customer_unique_id | customer_zip_code_prefix | customer_city | customer_state | |
|---|---|---|---|---|---|
| 0 | 06b8999e2fba1a1fbc88172c00ba8bc7 | 861eff4711a542e4b93843c6dd7febb0 | 14409 | franca | SP |
| 1 | 18955e83d337fd6b2def6b18a428ac77 | 290c77bc529b7ac935b93aa66c333dc3 | 9790 | sao bernardo do campo | SP |
| 2 | 4e7b3e00288586ebd08712fdd0374a03 | 060e732b5b29e8181a18229c7b0b2b5e | 1151 | sao paulo | SP |
| 3 | b2b6027bc5c5109e529d4dc6358b12c3 | 259dac757896d24d7702b9acbbff3f3c | 8775 | mogi das cruzes | SP |
| 4 | 4f2d8ab171c80ec8364f7c12e35b23ad | 345ecd01c38d18a9036ed96c73b8d066 | 13056 | campinas | SP |
items_df.head()
| order_id | order_item_id | product_id | seller_id | shipping_limit_date | price | freight_value | |
|---|---|---|---|---|---|---|---|
| 0 | 00010242fe8c5a6d1ba2dd792cb16214 | 1 | 4244733e06e7ecb4970a6e2683c13e61 | 48436dade18ac8b2bce089ec2a041202 | 2017-09-19 09:45:35 | 58.90 | 13.29 |
| 1 | 00018f77f2f0320c557190d7a144bdd3 | 1 | e5f2d52b802189ee658865ca93d83a8f | dd7ddc04e1b6c2c614352b383efe2d36 | 2017-05-03 11:05:13 | 239.90 | 19.93 |
| 2 | 000229ec398224ef6ca0657da4fc703e | 1 | c777355d18b72b67abbeef9df44fd0fd | 5b51032eddd242adc84c38acab88f23d | 2018-01-18 14:48:30 | 199.00 | 17.87 |
| 3 | 00024acbcdf0a6daa1e931b038114c75 | 1 | 7634da152a4610f1595efa32f14722fc | 9d7a1d34a5052409006425275ba1c2b4 | 2018-08-15 10:10:18 | 12.99 | 12.79 |
| 4 | 00042b26cf59d7ce69dfabb4e55b4fd9 | 1 | ac6c3623068f30de03045865e4e10089 | df560393f3a51e74553ab94004ba5c87 | 2017-02-13 13:57:51 | 199.90 | 18.14 |
payments_df.head()
| order_id | payment_sequential | payment_type | payment_installments | payment_value | |
|---|---|---|---|---|---|
| 0 | b81ef226f3fe1789b1e8b2acac839d17 | 1 | credit_card | 8 | 99.33 |
| 1 | a9810da82917af2d9aefd1278f1dcfa0 | 1 | credit_card | 1 | 24.39 |
| 2 | 25e8ea4e93396b6fa0d3dd708e76c1bd | 1 | credit_card | 1 | 65.71 |
| 3 | ba78997921bbcdc1373bb41e913ab953 | 1 | credit_card | 8 | 107.78 |
| 4 | 42fdf880ba16b47b59251dd489d4441a | 1 | credit_card | 2 | 128.45 |
orders_df.head()
| order_id | customer_id | order_status | order_purchase_timestamp | order_approved_at | order_delivered_carrier_date | order_delivered_customer_date | order_estimated_delivery_date | |
|---|---|---|---|---|---|---|---|---|
| 0 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 00:00:00 |
| 1 | 53cdb2fc8bc7dce0b6741e2150273451 | b0830fb4747a6c6d20dea0b8c802d7ef | delivered | 2018-07-24 20:41:37 | 2018-07-26 03:24:27 | 2018-07-26 14:31:00 | 2018-08-07 15:27:45 | 2018-08-13 00:00:00 |
| 2 | 47770eb9100c2d0c44946d9cf07ec65d | 41ce2a54c0b03bf3443c3d931a367089 | delivered | 2018-08-08 08:38:49 | 2018-08-08 08:55:23 | 2018-08-08 13:50:00 | 2018-08-17 18:06:29 | 2018-09-04 00:00:00 |
| 3 | 949d5b44dbf5de918fe9c16f97b45f8a | f88197465ea7920adcdbec7375364d82 | delivered | 2017-11-18 19:28:06 | 2017-11-18 19:45:59 | 2017-11-22 13:39:59 | 2017-12-02 00:28:42 | 2017-12-15 00:00:00 |
| 4 | ad21c59c0840e6cb83a9ceb5573f8159 | 8ab97904e6daea8866dbdbc4fb7aad2c | delivered | 2018-02-13 21:18:39 | 2018-02-13 22:20:29 | 2018-02-14 19:46:34 | 2018-02-16 18:17:02 | 2018-02-26 00:00:00 |
products_df.head()
| product_id | product_category_name | product_name_lenght | product_description_lenght | product_photos_qty | product_weight_g | product_length_cm | product_height_cm | product_width_cm | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 1e9e8ef04dbcff4541ed26657ea517e5 | perfumaria | 40.0 | 287.0 | 1.0 | 225.0 | 16.0 | 10.0 | 14.0 |
| 1 | 3aa071139cb16b67ca9e5dea641aaa2f | artes | 44.0 | 276.0 | 1.0 | 1000.0 | 30.0 | 18.0 | 20.0 |
| 2 | 96bd76ec8810374ed1b65e291975717f | esporte_lazer | 46.0 | 250.0 | 1.0 | 154.0 | 18.0 | 9.0 | 15.0 |
| 3 | cef67bcfe19066a932b7673e239eb23d | bebes | 27.0 | 261.0 | 1.0 | 371.0 | 26.0 | 4.0 | 26.0 |
| 4 | 9dc1a7de274444849c219cff195d0b71 | utilidades_domesticas | 37.0 | 402.0 | 4.0 | 625.0 | 20.0 | 17.0 | 13.0 |
sellers_df.head()
| seller_id | seller_zip_code_prefix | seller_city | seller_state | |
|---|---|---|---|---|
| 0 | 3442f8959a84dea7ee197c632cb2df15 | 13023 | campinas | SP |
| 1 | d1b65fc7debc3361ea86b5f14c68d2e2 | 13844 | mogi guacu | SP |
| 2 | ce3ad9de960102d0677a81f5d0bb7b2d | 20031 | rio de janeiro | RJ |
| 3 | c0f3eea2e14555b6faeea3dd58c1b1c3 | 4195 | sao paulo | SP |
| 4 | 51a04a8a6bdcb23deccc82b0b80742cf | 12914 | braganca paulista | SP |
categories_df.head()
| product_category_name | product_category_name_english | |
|---|---|---|
| 0 | beleza_saude | health_beauty |
| 1 | informatica_acessorios | computers_accessories |
| 2 | automotivo | auto |
| 3 | cama_mesa_banho | bed_bath_table |
| 4 | moveis_decoracao | furniture_decor |
#row and column counts in dfs
for df in [customers_df,items_df,payments_df,orders_df,products_df,sellers_df,categories_df]:
print(df.shape)
(99441, 5) (112650, 7) (103886, 5) (99441, 8) (32951, 9) (3095, 4) (71, 2)
#checking if NaNs are present in dfs
for df in [customers_df,items_df,payments_df,orders_df,products_df,sellers_df,categories_df]:
print(df.isna().any())
customer_id False customer_unique_id False customer_zip_code_prefix False customer_city False customer_state False dtype: bool order_id False order_item_id False product_id False seller_id False shipping_limit_date False price False freight_value False dtype: bool order_id False payment_sequential False payment_type False payment_installments False payment_value False dtype: bool order_id False customer_id False order_status False order_purchase_timestamp False order_approved_at True order_delivered_carrier_date True order_delivered_customer_date True order_estimated_delivery_date False dtype: bool product_id False product_category_name True product_name_lenght True product_description_lenght True product_photos_qty True product_weight_g True product_length_cm True product_height_cm True product_width_cm True dtype: bool seller_id False seller_zip_code_prefix False seller_city False seller_state False dtype: bool product_category_name False product_category_name_english False dtype: bool
#dropping duplicates in items_df
items_df = items_df.drop_duplicates()
Some of the dataframes appear to have NaN values in them.
#merging orders df and customers df on customer_id
df_raw = pd.merge(orders_df, customers_df, on='customer_id')
df_raw.head()
| order_id | customer_id | order_status | order_purchase_timestamp | order_approved_at | order_delivered_carrier_date | order_delivered_customer_date | order_estimated_delivery_date | customer_unique_id | customer_zip_code_prefix | customer_city | customer_state | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 00:00:00 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | sao paulo | SP |
| 1 | 53cdb2fc8bc7dce0b6741e2150273451 | b0830fb4747a6c6d20dea0b8c802d7ef | delivered | 2018-07-24 20:41:37 | 2018-07-26 03:24:27 | 2018-07-26 14:31:00 | 2018-08-07 15:27:45 | 2018-08-13 00:00:00 | af07308b275d755c9edb36a90c618231 | 47813 | barreiras | BA |
| 2 | 47770eb9100c2d0c44946d9cf07ec65d | 41ce2a54c0b03bf3443c3d931a367089 | delivered | 2018-08-08 08:38:49 | 2018-08-08 08:55:23 | 2018-08-08 13:50:00 | 2018-08-17 18:06:29 | 2018-09-04 00:00:00 | 3a653a41f6f9fc3d2a113cf8398680e8 | 75265 | vianopolis | GO |
| 3 | 949d5b44dbf5de918fe9c16f97b45f8a | f88197465ea7920adcdbec7375364d82 | delivered | 2017-11-18 19:28:06 | 2017-11-18 19:45:59 | 2017-11-22 13:39:59 | 2017-12-02 00:28:42 | 2017-12-15 00:00:00 | 7c142cf63193a1473d2e66489a9ae977 | 59296 | sao goncalo do amarante | RN |
| 4 | ad21c59c0840e6cb83a9ceb5573f8159 | 8ab97904e6daea8866dbdbc4fb7aad2c | delivered | 2018-02-13 21:18:39 | 2018-02-13 22:20:29 | 2018-02-14 19:46:34 | 2018-02-16 18:17:02 | 2018-02-26 00:00:00 | 72632f0f9dd73dfee390c9b22eb56dd6 | 9195 | santo andre | SP |
items_df.head()
| order_id | order_item_id | product_id | seller_id | shipping_limit_date | price | freight_value | |
|---|---|---|---|---|---|---|---|
| 0 | 00010242fe8c5a6d1ba2dd792cb16214 | 1 | 4244733e06e7ecb4970a6e2683c13e61 | 48436dade18ac8b2bce089ec2a041202 | 2017-09-19 09:45:35 | 58.90 | 13.29 |
| 1 | 00018f77f2f0320c557190d7a144bdd3 | 1 | e5f2d52b802189ee658865ca93d83a8f | dd7ddc04e1b6c2c614352b383efe2d36 | 2017-05-03 11:05:13 | 239.90 | 19.93 |
| 2 | 000229ec398224ef6ca0657da4fc703e | 1 | c777355d18b72b67abbeef9df44fd0fd | 5b51032eddd242adc84c38acab88f23d | 2018-01-18 14:48:30 | 199.00 | 17.87 |
| 3 | 00024acbcdf0a6daa1e931b038114c75 | 1 | 7634da152a4610f1595efa32f14722fc | 9d7a1d34a5052409006425275ba1c2b4 | 2018-08-15 10:10:18 | 12.99 | 12.79 |
| 4 | 00042b26cf59d7ce69dfabb4e55b4fd9 | 1 | ac6c3623068f30de03045865e4e10089 | df560393f3a51e74553ab94004ba5c87 | 2017-02-13 13:57:51 | 199.90 | 18.14 |
#merging items dataframe on orer_id
df_raw = df_raw.merge(items_df, on='order_id')
#merging other dataframes
df_raw = df_raw.merge(payments_df, on='order_id')
df_raw = df_raw.merge(products_df, on='product_id')
df_raw = df_raw.merge(sellers_df, on='seller_id')
df_raw = df_raw.merge(categories_df, on='product_category_name', how='left')
#info on column in dataframe
df_raw.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 117601 entries, 0 to 117600 Data columns (total 34 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 order_id 117601 non-null object 1 customer_id 117601 non-null object 2 order_status 117601 non-null object 3 order_purchase_timestamp 117601 non-null object 4 order_approved_at 117586 non-null object 5 order_delivered_carrier_date 116356 non-null object 6 order_delivered_customer_date 115034 non-null object 7 order_estimated_delivery_date 117601 non-null object 8 customer_unique_id 117601 non-null object 9 customer_zip_code_prefix 117601 non-null int64 10 customer_city 117601 non-null object 11 customer_state 117601 non-null object 12 order_item_id 117601 non-null int64 13 product_id 117601 non-null object 14 seller_id 117601 non-null object 15 shipping_limit_date 117601 non-null object 16 price 117601 non-null float64 17 freight_value 117601 non-null float64 18 payment_sequential 117601 non-null int64 19 payment_type 117601 non-null object 20 payment_installments 117601 non-null int64 21 payment_value 117601 non-null float64 22 product_category_name 115903 non-null object 23 product_name_lenght 115903 non-null float64 24 product_description_lenght 115903 non-null float64 25 product_photos_qty 115903 non-null float64 26 product_weight_g 117581 non-null float64 27 product_length_cm 117581 non-null float64 28 product_height_cm 117581 non-null float64 29 product_width_cm 117581 non-null float64 30 seller_zip_code_prefix 117601 non-null int64 31 seller_city 117601 non-null object 32 seller_state 117601 non-null object 33 product_category_name_english 115878 non-null object dtypes: float64(10), int64(5), object(19) memory usage: 31.4+ MB
df_raw.describe()
| customer_zip_code_prefix | order_item_id | price | freight_value | payment_sequential | payment_installments | payment_value | product_name_lenght | product_description_lenght | product_photos_qty | product_weight_g | product_length_cm | product_height_cm | product_width_cm | seller_zip_code_prefix | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 117601.000000 | 117601.000000 | 117601.000000 | 117601.000000 | 117601.000000 | 117601.000000 | 117601.000000 | 115903.000000 | 115903.000000 | 115903.000000 | 117581.000000 | 117581.000000 | 117581.000000 | 117581.000000 | 117601.000000 |
| mean | 35051.793097 | 1.195900 | 120.824783 | 20.045990 | 1.093528 | 2.939482 | 172.686752 | 48.767590 | 786.950855 | 2.207881 | 2114.309497 | 30.257235 | 16.630306 | 23.068574 | 24441.423049 |
| std | 29820.588877 | 0.697706 | 184.479323 | 15.861315 | 0.726692 | 2.774223 | 267.592290 | 10.035011 | 653.036231 | 1.719531 | 3788.798201 | 16.190920 | 13.458952 | 11.748468 | 27572.632286 |
| min | 1003.000000 | 1.000000 | 0.850000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 5.000000 | 4.000000 | 1.000000 | 0.000000 | 7.000000 | 2.000000 | 6.000000 | 1001.000000 |
| 25% | 11310.000000 | 1.000000 | 39.900000 | 13.080000 | 1.000000 | 1.000000 | 60.870000 | 42.000000 | 347.000000 | 1.000000 | 300.000000 | 18.000000 | 8.000000 | 15.000000 | 6429.000000 |
| 50% | 24315.000000 | 1.000000 | 74.900000 | 16.290000 | 1.000000 | 2.000000 | 108.210000 | 52.000000 | 601.000000 | 1.000000 | 700.000000 | 25.000000 | 13.000000 | 20.000000 | 13660.000000 |
| 75% | 58600.000000 | 1.000000 | 134.900000 | 21.190000 | 1.000000 | 4.000000 | 189.260000 | 57.000000 | 985.000000 | 3.000000 | 1800.000000 | 38.000000 | 20.000000 | 30.000000 | 28035.000000 |
| max | 99990.000000 | 21.000000 | 6735.000000 | 409.680000 | 29.000000 | 24.000000 | 13664.080000 | 76.000000 | 3992.000000 | 20.000000 | 40425.000000 | 105.000000 | 105.000000 | 118.000000 | 99730.000000 |
df_raw.head()
| order_id | customer_id | order_status | order_purchase_timestamp | order_approved_at | order_delivered_carrier_date | order_delivered_customer_date | order_estimated_delivery_date | customer_unique_id | customer_zip_code_prefix | ... | product_description_lenght | product_photos_qty | product_weight_g | product_length_cm | product_height_cm | product_width_cm | seller_zip_code_prefix | seller_city | seller_state | product_category_name_english | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 00:00:00 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 1 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 00:00:00 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 2 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 00:00:00 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 3 | 128e10d95713541c87cd1a2e48201934 | a20e8105f23924cd00833fd87daa0831 | delivered | 2017-08-15 18:29:31 | 2017-08-15 20:05:16 | 2017-08-17 15:28:33 | 2017-08-18 14:44:43 | 2017-08-28 00:00:00 | 3a51803cc0d012c3b5dc8b7528cb05f7 | 3366 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 4 | 0e7e841ddf8f8f2de2bad69267ecfbcf | 26c7ac168e1433912a51b924fbd34d34 | delivered | 2017-08-02 18:24:47 | 2017-08-02 18:43:15 | 2017-08-04 17:35:43 | 2017-08-07 18:30:01 | 2017-08-15 00:00:00 | ef0996a1a279c26e7ecbd737be23d235 | 2290 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
5 rows × 34 columns
#setting datatype to datetime columns
df_raw['order_purchase_timestamp'] = df_raw['order_purchase_timestamp'].astype('datetime64')
df_raw['order_approved_at'] = df_raw['order_approved_at'].astype('datetime64')
df_raw['order_delivered_carrier_date'] = df_raw['order_delivered_carrier_date'].astype('datetime64')
df_raw['order_delivered_customer_date'] = df_raw['order_delivered_customer_date'].astype('datetime64')
df_raw['order_estimated_delivery_date'] = df_raw['order_estimated_delivery_date'].astype('datetime64')
df_raw['shipping_limit_date'] = df_raw['shipping_limit_date'].astype('datetime64')
#printing value counts
for i in df_raw.select_dtypes(include = object).columns:
x = df_raw[i].value_counts()
print("Column: ",i,"\n",x)
Column: order_id
895ab968e7bb0d5659d16cd74cd1650c 63
fedcd9f7ccdc8cba3a18defedd1a5547 38
fa65dad1b0e818e3ccc5cb0e39231352 29
ccf804e764ed5650cd8759557269dc13 26
68986e4324f6a21481df4e6e89abcf01 24
..
e19019255986daaec52392b5058e2aaa 1
f9343167f98d74b2f82a3cfb3d6b880d 1
dfb37d2ceed290c718d7778273ba8b4a 1
cc1ddc7d7f30076a8cf87d86eecd6606 1
13cf8836b6a3654748e09e70c6ab4f4d 1
Name: order_id, Length: 98665, dtype: int64
Column: customer_id
270c23a11d024a44c896d1894b261a83 63
13aa59158da63ba0e93ec6ac2c07aacb 38
9af2372a1e49340278e7c1ef8d749f34 29
92cd3ec6e2d643d4ebd0e3d6238f69e2 26
63b964e79dee32a3587651701a2b8dbf 24
..
d9a14369332805c9204ffce41311e330 1
13ebf1b1ebcb8ec336d5ca82619ee10f 1
8e8b8bdab69c0b848ed680d4f60b9760 1
5bac308542721d5c4ebe0b35b6e3690e 1
2e5e192daace5791ff9fdb7cc0cc6d1c 1
Name: customer_id, Length: 98665, dtype: int64
Column: order_status
delivered 115035
shipped 1244
canceled 566
processing 375
invoiced 371
unavailable 7
approved 3
Name: order_status, dtype: int64
Column: customer_unique_id
9a736b248f67d166d2fbb006bcb877c3 75
6fbc7cdadbb522125f4b27ae9dee4060 38
f9ae226291893fda10af7965268fb7f6 35
8af7ac63b2efbcbd88e5b11505e8098a 29
569aa12b73b5f7edeaa6f2a01603e381 26
..
5b52ba553ad97d0fc5993bdffcdcd4be 1
04e01ceba008c9f51cb4e9eb876dfc6a 1
9d73d8f25f88429a758525f465ca627d 1
89221bc2da10ae4adf10dfb2ad5d500c 1
75015153c3f4b976fa82a0888a5d736c 1
Name: customer_unique_id, Length: 95419, dtype: int64
Column: customer_city
sao paulo 18590
rio de janeiro 8202
belo horizonte 3247
brasilia 2457
curitiba 1809
campinas 1735
porto alegre 1654
salvador 1527
guarulhos 1401
sao bernardo do campo 1112
niteroi 1049
santo andre 914
osasco 894
goiania 868
santos 843
sao jose dos campos 820
fortaleza 762
sorocaba 729
recife 704
jundiai 686
florianopolis 680
ribeirao preto 604
nova iguacu 519
belem 512
contagem 512
barueri 493
juiz de fora 491
mogi das cruzes 479
sao goncalo 473
uberlandia 435
vitoria 434
piracicaba 422
sao luis 400
carapicuiba 391
sao jose do rio preto 391
vila velha 389
campo grande 370
praia grande 369
maua 355
diadema 349
taboao da serra 345
londrina 344
indaiatuba 344
maringa 332
cuiaba 331
taubate 324
serra 324
duque de caxias 322
teresina 320
joao pessoa 316
sao caetano do sul 310
bauru 308
petropolis 296
joinville 295
sao carlos 295
cotia 285
guaruja 284
campos dos goytacazes 282
macae 279
suzano 276
caxias do sul 270
americana 270
maceio 270
volta redonda 263
aracaju 255
canoas 254
natal 251
montes claros 249
santa maria 239
limeira 231
franca 229
blumenau 227
betim 225
santana de parnaiba 222
feira de santana 220
jacarei 219
ipatinga 218
pelotas 218
sumare 218
atibaia 217
valinhos 217
marilia 216
uberaba 215
sao jose 203
itapevi 196
cascavel 196
sao vicente 195
presidente prudente 191
rio claro 190
itaquaquecetuba 186
araraquara 183
embu das artes 179
sao joao de meriti 175
nova friburgo 172
aracatuba 169
paulinia 168
divinopolis 168
ponta grossa 167
sao jose dos pinhais 165
braganca paulista 164
hortolandia 163
manaus 162
cabo frio 162
rio das ostras 161
governador valadares 160
marica 159
pocos de caldas 159
cariacica 158
novo hamburgo 154
itu 152
pouso alegre 151
palmas 148
jaboatao dos guararapes 147
mage 145
barra mansa 145
sete lagoas 144
cachoeiro de itapemirim 144
resende 143
santa barbara d'oeste 139
teresopolis 134
aparecida de goiania 134
rio grande 133
chapeco 132
belford roxo 132
anapolis 131
itajai 130
porto velho 130
ferraz de vasconcelos 129
passo fundo 129
gravatai 127
ribeirao pires 123
sao leopoldo 123
cajamar 121
franco da rocha 121
nilopolis 121
ribeirao das neves 121
vinhedo 120
balneario camboriu 120
santa luzia 120
araras 118
caraguatatuba 116
palhoca 116
botucatu 116
itajuba 114
criciuma 114
itapecerica da serra 112
vicosa 112
salto 111
angra dos reis 111
francisco morato 111
jaragua do sul 111
itatiba 110
itanhaem 110
pindamonhangaba 110
votorantim 110
guaratingueta 108
caieiras 108
vitoria da conquista 108
patos de minas 108
mogi-guacu 107
nova lima 107
olinda 106
conselheiro lafaiete 106
poa 105
assis 104
lavras 103
ananindeua 102
foz do iguacu 101
jandira 101
ilheus 100
lages 100
varginha 100
ubatuba 100
teofilo otoni 98
araxa 97
itabira 97
lorena 97
sao joao da boa vista 96
ourinhos 96
varzea paulista 96
mesquita 96
sao roque 95
birigui 95
rio verde 94
itapetininga 94
barbacena 93
araruama 92
cacapava 92
jau 92
lauro de freitas 91
viamao 90
mogi mirim 89
tupa 89
campina grande 88
cachoeirinha 87
cubatao 87
caruaru 87
barretos 87
tatui 86
mairipora 85
rio branco 85
colatina 84
catanduva 84
santa cruz do sul 83
linhares 82
manhuacu 81
jaguariuna 81
colombo 80
ijui 80
aruja 80
sao sebastiao 80
itaborai 79
amparo 78
paracatu 78
muriae 78
sinop 78
guarapuava 78
uba 78
toledo 78
sao joao del rei 78
sertaozinho 78
camacari 77
votuporanga 76
pirassununga 76
guarapari 76
pinhais 76
dourados 75
parnamirim 75
rondonopolis 75
avare 73
apucarana 73
paranagua 73
embu-guacu 73
lagoa santa 72
caratinga 72
valenca 71
queimados 71
ituiutaba 71
petrolina 70
cruzeiro 69
ouro preto 69
itabuna 68
tubarao 68
brusque 67
itapeva 67
erechim 66
bage 66
pato branco 66
araucaria 65
campo mourao 65
concordia 65
itauna 65
bento goncalves 64
itapira 64
lins 64
timoteo 64
macapa 64
peruibe 64
jatai 63
araguari 63
bebedouro 62
itupeva 62
patrocinio 61
barreiras 61
jaboticabal 61
unai 61
cosmopolis 60
alvorada 60
matao 60
francisco beltrao 59
joao monlevade 59
boituva 59
lajeado 59
fernandopolis 58
paranavai 58
registro 58
nova serrana 58
leme 57
uruguaiana 57
itaperuna 56
barra do pirai 56
santo angelo 56
porto seguro 55
bertioga 55
guaira 55
videira 55
alfenas 55
saquarema 54
ibirite 54
curvelo 53
varzea grande 53
tres coracoes 53
paulista 53
pedreira 52
campo limpo paulista 52
extrema 52
sao jose do rio pardo 52
artur nogueira 52
andradina 52
sao mateus 51
passos 51
pirapora 51
pedro leopoldo 51
vargem grande paulista 51
boa vista 51
sao pedro da aldeia 51
cruz alta 51
caucaia 51
ilhabela 50
ponte nova 50
vespasiano 50
itaguai 50
campo largo 50
uniao da vitoria 49
tres lagoas 49
mongagua 49
sapucaia do sul 49
juazeiro 49
santarem 48
sao miguel do oeste 48
capao da canoa 48
penapolis 48
itapema 48
itumbiara 48
esteio 47
sao bento do sul 47
eunapolis 47
japeri 47
tiete 47
ouro branco 47
louveira 46
paulo afonso 46
alagoinhas 46
lencois paulista 46
aracruz 46
monte mor 46
cianorte 46
coronel fabriciano 46
vassouras 46
nova odessa 45
maracanau 44
adamantina 44
sao joaquim da barra 44
valparaiso de goias 44
campo bom 44
gaspar 44
sabara 44
cacador 44
imperatriz 44
bom despacho 43
cataguases 43
tremembe 43
luis eduardo magalhaes 43
umuarama 43
rio do sul 43
caldas novas 42
catalao 42
olimpia 42
guaxupe 42
araguaina 42
guanambi 42
mossoro 42
osorio 41
para de minas 41
juazeiro do norte 41
arapongas 41
tres rios 41
seropedica 41
santo antonio de padua 40
cachoeira do sul 40
itarare 40
mococa 40
alegrete 40
camaragibe 40
sao lourenco 40
formosa 40
arraial do cabo 40
santa cruz do rio pardo 39
dracena 39
garanhuns 39
almirante tamandare 39
itaqui 39
marechal candido rondon 39
santa rita do sapucai 39
cerquilho 38
jequie 38
luziania 38
sobral 38
telemaco borba 38
guaiba 37
mafra 37
santiago 37
santa rosa 37
xanxere 37
sao sebastiao do paraiso 37
orlandia 37
taquaritinga 37
imbituba 36
ibiuna 36
barra do garcas 36
montenegro 36
paracambi 36
navegantes 36
porto ferreira 35
formiga 35
monte alto 35
capivari 35
camboriu 35
tijucas 35
santa fe do sul 35
congonhas 35
rolandia 35
garca 35
presidente venceslau 34
itabirito 34
corumba 34
mariana 34
itapolis 34
parauapebas 34
santo antonio de jesus 34
arapiraca 34
jales 34
ituverava 34
santa isabel 34
brumadinho 33
viana 33
carangola 33
gramado 33
capao bonito 33
coromandel 33
presidente epitacio 33
matinhos 33
promissao 32
barra bonita 32
dois vizinhos 32
castro 32
batatais 32
miguel pereira 32
janauba 32
rio bonito 31
santa barbara 31
frutal 31
garopaba 31
gurupi 31
tambau 31
primavera do leste 31
mirassol 31
caceres 31
bom jesus dos perdoes 31
armacao dos buzios 31
piumhii 31
mineiros 31
sapiranga 30
lucas do rio verde 30
teixeira de freitas 30
cambe 30
simoes filho 30
cravinhos 30
fazenda rio grande 30
canoinhas 30
alem paraiba 30
trindade 30
brumado 29
mairinque 29
diamantina 29
parnaiba 29
santana do livramento 29
joacaba 29
estancia velha 29
indaial 29
paraty 29
nanuque 29
cambui 29
caete 29
tramandai 28
pitangui 28
ilha solteira 28
farroupilha 28
icara 28
iguaba grande 28
arcos 28
dias d'avila 28
holambra 28
guapore 28
vera cruz 28
salinas 28
altamira 27
rio grande da serra 27
venancio aires 27
aguas lindas de goias 27
piracaia 27
vacaria 27
sao gotardo 27
pinhalzinho 27
alto paraiso de goias 27
aparecida 27
cachoeira paulista 27
campos do jordao 27
morrinhos 27
quatro barras 26
aguas de lindoia 26
veranopolis 26
ibiruba 26
piraju 26
braco do norte 26
juquitiba 26
monte azul paulista 26
porto feliz 26
januaria 26
mandaguari 25
senhor do bonfim 25
bom jesus do itabapoana 25
cordeiro 25
medianeira 25
cornelio procopio 25
marau 25
biguacu 25
viradouro 25
castanhal 25
piedade 25
curitibanos 25
sorriso 25
monte carmelo 25
cachoeiras de macacu 24
pederneiras 24
sao gabriel 24
rancharia 24
machado 24
jacobina 24
sao manuel 24
aracati 24
irece 24
cafelandia 24
ouro fino 24
ibitinga 24
cicero dantas 24
tangara da serra 24
bonfim paulista 24
pompeia 24
campo novo do parecis 24
sao fidelis 24
claudio 24
ponta pora 23
cantagalo 23
laranjeiras do sul 23
carazinho 23
campos novos 23
casimiro de abreu 23
monte siao 23
goianesia 23
campo belo 23
sao joao nepomuceno 23
sarandi 23
santo anastacio 23
guapimirim 23
oliveira 23
candeias 23
lapa 23
socorro 23
nova granada 23
irati 23
santa rita do passa quatro 23
boa esperanca 23
santos dumont 23
brotas 23
timbo 23
maraba 23
laguna 22
cabo de santo agostinho 22
cerqueira cesar 22
guararapes 22
cordeiropolis 22
jacutinga 22
venda nova do imigrante 22
torres 22
santa maria de jetiba 22
barrinha 22
taquara 22
osvaldo cruz 21
agua boa 21
anchieta 21
laranjal paulista 21
conchal 21
guanhaes 21
jarinu 21
cruz das almas 21
sao francisco do sul 21
carlos barbosa 21
rosario do sul 21
picos 21
tres pontas 21
eusebio 21
ararangua 21
paraguacu paulista 21
palmital 21
vilhena 21
ariquemes 21
sacramento 21
igrejinha 20
posse 20
miracema 20
ipero 20
novo horizonte 20
balsas 20
bariri 20
jaguariaiva 20
santo antonio de posse 20
pirai 20
paty do alferes 20
morro agudo 20
leopoldina 20
itabaiana 20
americo brasiliense 20
sao mateus do sul 20
visconde do rio branco 20
crato 20
paragominas 20
itaocara 20
capelinha 20
pereira barreto 20
penha 20
itaporanga 20
tucurui 20
paraiba do sul 20
barra de sao joao 20
espera feliz 20
iracemapolis 20
guacui 19
canela 19
barao de cocais 19
panambi 19
candido mota 19
itapetinga 19
junqueiropolis 19
nova venecia 19
aguai 19
camaqua 19
bambui 19
piuma 19
joao pinheiro 19
marialva 19
pirapora do bom jesus 19
sao borja 19
castelo 19
santa rosa de viterbo 19
espirito santo do pinhal 19
ji-parana 19
uruacu 19
ipora 19
sao francisco 19
sao joao da barra 19
dois irmaos 19
sarzedo 19
santana do paraiso 19
itatiaia 19
iguatu 18
taquarituba 18
macatuba 18
serrinha 18
santo antonio da patrulha 18
taio 18
alegre 18
mata de sao joao 18
juina 18
itajobi 18
buritis 18
capanema 18
carmo do paranaiba 18
matias barbosa 18
paraguacu 18
palmeira das missoes 18
santana 18
floriano 18
santa ines 18
agudos 18
bastos 18
charqueadas 18
imbe 18
sao sebastiao do cai 18
conselheiro pena 18
santo antonio da platina 18
senador canedo 18
barra velha 18
triunfo 17
serra negra 17
piraquara 17
bonito 17
quirinopolis 17
caxambu 17
timon 17
patos 17
carmo do rio claro 17
pirajui 17
pires do rio 17
novo gama 17
forquilhinha 17
inhumas 17
nova prata 17
pitangueiras 17
vitoria de santo antao 17
teutonia 17
ipojuca 17
santo antonio do monte 17
natividade 17
jacarezinho 17
bom jardim 17
redencao 17
salgueiro 17
santa vitoria 17
marataizes 17
mata verde 17
ibirama 17
raposos 17
sao luiz gonzaga 17
palmeira 17
nova era 16
niquelandia 16
quissama 16
iturama 16
embu 16
cangucu 16
chapadao do sul 16
esmeraldas 16
italva 16
cunha 16
sao francisco de itabapoana 16
ituporanga 16
santa cruz do capibaribe 16
presidente dutra 16
alta floresta 16
tupaciguara 16
porangatu 16
sao simao 16
divino 16
ibipora 16
almenara 16
santa adelia 16
bombinhas 16
estrela 16
ipiau 16
maracaju 16
gravata 16
feliz 16
igarassu 16
paranaiba 16
caxias 16
paraisopolis 16
rio negro 16
itamaraju 16
manhumirim 16
cajati 16
faxinal dos guedes 16
itanhandu 16
pariquera-acu 16
frederico westphalen 15
sao lourenco do sul 15
mirandopolis 15
taiobeiras 15
pirapozinho 15
santo amaro 15
araripina 15
sao lourenco da serra 15
correia pinto 15
salto de pirapora 15
parati 15
iguape 15
conceicao do mato dentro 15
flores da cunha 15
santa maria da vitoria 15
jaguare 15
barroso 15
sao jose do vale do rio preto 15
sao lourenco da mata 15
jardinopolis 15
pilar do sul 15
castilho 15
sao goncalo do amarante 15
santa vitoria do palmar 15
nossa senhora do socorro 15
eldorado do sul 15
pinheiral 15
assis chateaubriand 15
bandeirantes 15
porto uniao 15
rio brilhante 15
jose bonifacio 15
monte aprazivel 15
loanda 15
aperibe 15
brodowski 15
petrolandia 15
rio negrinho 15
carmo 15
abaetetuba 15
marituba 15
teodoro sampaio 15
bacabal 14
nova andradina 14
itapipoca 14
conceicao de macabu 14
bom jesus 14
mirassol d'oeste 14
guariba 14
costa rica 14
serrana 14
tres de maio 14
ipameri 14
macaubas 14
limoeiro do norte 14
sao jose de ribamar 14
andradas 14
descalvado 14
fraiburgo 14
mantena 14
sao gabriel da palha 14
raul soares 14
cambara 14
herval d'oeste 14
ivoti 14
belo jardim 14
bezerros 14
araquari 14
mendes 14
astolfo dutra 14
pojuca 14
abreu e lima 14
guaramirim 14
mangaratiba 14
treze tilias 14
andira 14
floresta 14
buritizeiro 14
parobe 14
miguelopolis 14
ibate 14
sao pedro 14
aluminio 14
lagoa vermelha 14
pontal 14
santo amaro da imperatriz 14
tres marias 13
santa helena 13
cesario lange 13
passa quatro 13
ouroeste 13
rondon do para 13
bocaiuva 13
coronel vivida 13
itamonte 13
santa gertrudes 13
guara 13
sao joao 13
celso ramos 13
lagoa da prata 13
alvinopolis 13
paranapanema 13
regente feijo 13
minacu 13
sao miguel arcanjo 13
colorado 13
ipua 13
encantado 13
sombrio 13
taguatinga 13
igarape 13
itapiranga 13
tabapua 13
coxim 13
itapecerica 13
serra talhada 13
quixada 13
casa branca 13
russas 13
taquari 13
engenheiro coelho 13
quata 13
cacoal 13
paraiso do tocantins 13
pompeu 13
vargem grande do sul 13
carandai 13
goitacazes 12
paraibuna 12
estancia 12
abaete 12
charqueada 12
montanha 12
bom jesus da lapa 12
sidrolandia 12
tiangua 12
ipira 12
goiana 12
palmares 12
tupi paulista 12
dois corregos 12
tanabi 12
lambari 12
mostardas 12
itamarandiba 12
carmo do cajuru 12
aparecida do taboado 12
rio paranaiba 12
arroio do meio 12
aguas da prata 12
portao 12
virginopolis 12
tres passos 12
tapiratiba 12
varzea da palma 12
cansancao 12
auriflama 12
malacacheta 12
canarana 12
salesopolis 12
itai 12
duartina 12
chavantes 12
guaicara 12
urupes 12
lucelia 12
goioere 12
pradopolis 12
eloi mendes 12
aracoiaba da serra 12
buritama 12
capinopolis 12
cassilandia 12
mateus leme 12
matozinhos 12
balneario picarras 12
brejo santo 12
guaratuba 12
fartura 12
espinosa 12
rio das pedras 12
cajazeiras 12
biritiba-mirim 12
capinzal 12
jandaia do sul 12
santa teresa 12
nova esperanca 11
barra de sao francisco 11
sobradinho 11
potirendaba 11
papanduva 11
santa cecilia 11
ibia 11
mirai 11
palotina 11
sao marcos 11
jequitinhonha 11
barra do corda 11
lagarto 11
afonso claudio 11
maravilha 11
capitolio 11
maracai 11
piracanjuba 11
ibaiti 11
icem 11
teotonio vilela 11
codo 11
bom jardim de minas 11
tapejara 11
goiatuba 11
boa esperanca do sul 11
baixo guandu 11
conchas 11
guararema 11
sao raimundo nonato 11
catu 11
corinto 11
prata 11
campo formoso 11
campina grande do sul 11
dourado 11
turmalina 11
sao joao batista 11
pau dos ferros 11
pesqueira 11
planaltina 11
dom pedrito 11
cocal 11
girua 11
conceicao da aparecida 11
guarabira 11
alto do rodrigues 11
pomerode 11
ronda alta 11
taguai 11
piranguinho 11
caconde 11
nova xavantina 11
papucaia 11
santo augusto 11
ibatiba 11
cacu 11
navirai 11
planalto 11
porciuncula 11
escada 11
querencia 11
sao joaquim 11
nucleo residencial pilar 11
cerro largo 11
itaiopolis 11
guaranesia 11
martinopolis 11
nova ponte 11
pedro de toledo 11
itaberaba 10
carpina 10
xinguara 10
valente 10
parapua 10
poco fundo 10
santa juliana 10
baependi 10
aracariguama 10
brasilia de minas 10
piratininga 10
itajuipe 10
mangueirinha 10
alto boa vista 10
perdizes 10
urussanga 10
campanha 10
buri 10
mar de espanha 10
nepomuceno 10
imbituva 10
garibaldi 10
conceicao do coite 10
neropolis 10
sao miguel do iguacu 10
itaguacu 10
paco do lumiar 10
bayeux 10
fervedouro 10
taruma 10
tres cachoeiras 10
ipaussu 10
palmeira dos indios 10
santo antonio do jacinto 10
santa cruz das palmeiras 10
arapoti 10
paicandu 10
currais novos 10
queimadas 10
bilac 10
palestina 10
sao joaquim de bicas 10
jaguarao 10
campina verde 10
mamanguape 10
julio de castilhos 10
morada nova 10
sao luis de montes belos 10
marmeleiro 10
mutum 10
caetite 10
rubiataba 10
primavera 10
braganca 10
vila valerio 10
aimores 10
ico 10
muzambinho 10
siqueira campos 10
sumidouro 10
sao lourenco do oeste 10
coroata 10
lindoia 10
piedade de caratinga 10
taquaritinga do norte 10
jacare 10
caico 10
campo verde 10
piquete 10
quedas do iguacu 10
bofete 10
sao benedito 10
santa helena de goias 10
rolante 10
sao jose do cedro 10
juquia 10
pinhao 10
xaxim 10
colider 10
belo oriente 10
taua 10
barra da estiva 10
perdoes 10
mimoso do sul 10
antonina 10
realeza 10
camanducaia 10
resplendor 10
cedral 9
goias 9
campo maior 9
chapadao do ceu 9
morro do chapeu 9
luis antonio 9
capela 9
taiuva 9
crateus 9
acarau 9
campo ere 9
arroio dos ratos 9
ibotirama 9
eldorado 9
sao bento do sapucai 9
paraopeba 9
sao jeronimo 9
tres fronteiras 9
porto belo 9
panorama 9
faxinal 9
matupa 9
valparaiso 9
balsamo 9
arraial d'ajuda 9
cajuru 9
rio acima 9
santa branca 9
trancoso 9
nova londrina 9
novo cruzeiro 9
penedo 9
ampere 9
dianopolis 9
santa albertina 9
canaa dos carajas 9
colina 9
crixas 9
camamu 9
arroio do sal 9
acreuna 9
ipaba 9
monte santo de minas 9
nova petropolis 9
joao neiva 9
goianira 9
espumoso 9
porecatu 9
cajobi 9
xangri-la 9
vazante 9
borborema 9
itapoa 9
domingos martins 9
sao felix do xingu 9
benedito novo 9
itacare 9
sao goncalo do sapucai 9
sao goncalo do rio abaixo 9
aracuai 9
santa cruz cabralia 9
pontes e lacerda 9
monte alegre de minas 9
botelhos 9
pinheiros 9
sao gabriel do oeste 9
dores do indaia 9
cidade ocidental 9
camocim 9
porto nacional 9
rodeio 9
ipanema 9
santa barbara d oeste 9
schroeder 9
nao-me-toque 9
trajano de moraes 9
cristina 9
marilandia 9
serafina correa 9
sapezal 8
angatuba 8
cruzeiro do oeste 8
comendador levy gasparian 8
potiragua 8
ortigueira 8
cananeia 8
cabedelo 8
horizontina 8
cambuci 8
itapuranga 8
tocantinopolis 8
nhandeara 8
cristalina 8
limoeiro 8
bady bassitt 8
sao jose do norte 8
orleans 8
caetanopolis 8
nova olinda 8
itambacuri 8
japura 8
japuiba 8
monte belo 8
sao cristovao 8
itabera 8
sao jose da lapa 8
mambore 8
tucano 8
cosmorama 8
pirangi 8
astorga 8
acopiara 8
nova europa 8
catole do rocha 8
tiradentes 8
ecoporanga 8
campinorte 8
porto real 8
lagoa formosa 8
itambe 8
simonesia 8
lauro muller 8
novo progresso 8
getulio vargas 8
nova russas 8
california da barra 8
amambai 8
bananeiras 8
ribeira do pombal 8
miracatu 8
arinos 8
alcinopolis 8
anicuns 8
ruy barbosa 8
sao joao do paraiso 8
colonia castrolanda 8
madre de deus 8
teixeiras 8
encruzilhada do sul 8
apiai 8
cidade gaucha 8
nova prata do iguacu 8
comodoro 8
igaracu do tiete 8
sousa 8
bicas 8
bela vista de goias 8
santa rita de caldas 8
ouricuri 8
confresa 8
arceburgo 8
pirapetinga 8
prudentopolis 8
pontal do parana 8
conceicao do araguaia 8
aripuana 8
coribe 8
hidrolandia 8
dores de campos 8
sao sepe 8
nazare paulista 8
aguas belas 8
areal 8
soledade 8
carai 8
lagoa grande 8
sao joao do piaui 8
ubajara 8
cruz 8
balneario pinhal 8
alvares machado 8
divinolandia 8
bananal 8
santa rita 8
afogados da ingazeira 8
nova santa rita 7
mundo novo 7
mozarlandia 7
padre carvalho 7
arapora 7
fernando prestes 7
elias fausto 7
jacunda 7
seara 7
camacan 7
nova veneza 7
conservatoria 7
sao miguel do araguaia 7
ervalia 7
sao jose do calcado 7
ourilandia do norte 7
jaru 7
terra rica 7
sao domingos do norte 7
salto do lontra 7
santa isabel do para 7
sao domingos 7
terra roxa 7
porto xavier 7
medina 7
pirai do sul 7
rio pomba 7
antonio prado 7
estiva gerbi 7
sao joao evangelista 7
itaobim 7
inhapim 7
cachoeira alta 7
rio largo 7
piripiri 7
silvania 7
ribeirao bonito 7
bocaina 7
alfredo chaves 7
seabra 7
casca 7
sapucaia 7
dom eliseu 7
sooretama 7
pacajus 7
barreiros 7
saudades 7
ibira 7
cachoeira de minas 7
pacaembu 7
catende 7
ceres 7
ubirata 7
ivaipora 7
diamantino 7
pimenta bueno 7
passo de torres 7
campos belos 7
medeiros neto 7
canapolis 7
santo cristo 7
formosa do rio preto 7
moreno 7
rio novo do sul 7
saltinho 7
itapura 7
apiuna 7
jaragua 7
rio do pires 7
piritiba 7
firminopolis 7
alpinopolis 7
primeiro de maio 7
iacanga 7
ceu azul 7
entre rios 7
indiara 7
senges 7
jeceaba 7
arcoverde 7
canavieiras 7
tangua 7
bom conselho 7
severinia 7
cacapava do sul 7
morungaba 7
vila muriqui 7
paramirim 7
sao jose da barra 7
mucuri 7
inhambupe 7
rolim de moura 7
simao dias 7
mallet 7
martins soares 7
itapejara d'oeste 7
entre rios de minas 7
pombal 7
presidente bernardes 7
santa rita do araguaia 7
fronteira 7
morro da fumaca 7
uruara 7
cruzeiro do sul 7
itapui 7
paulo frontin 7
timbauba 7
paulo de faria 7
sao joao dos patos 7
igarapava 7
ribeirao claro 7
santa maria madalena 7
inconfidentes 7
itariri 7
lajedo 7
acailandia 7
itau de minas 7
guaracai 7
itobi 7
missal 7
pinhalao 7
monte alegre do sul 7
avanhandava 7
engenheiro paulo de frontin 7
sao francisco de paula 7
guarani 7
perdigao 7
reboucas 7
dom feliciano 7
cardoso 6
maracas 6
euclides da cunha 6
custodia 6
pejucara 6
brazopolis 6
rio pardo de minas 6
pauliceia 6
catanduvas 6
regeneracao 6
carmopolis de minas 6
capitao leonidas marques 6
jeremoabo 6
presidente getulio 6
espigao do oeste 6
itaipulandia 6
ipueiras 6
rafard 6
carlopolis 6
joanopolis 6
assai 6
ubaira 6
borda da mata 6
lagoa dourada 6
jambeiro 6
aguas vermelhas 6
caldas 6
catigua 6
diamante do norte 6
tupancireta 6
tombos 6
gravatal 6
santo estevao 6
ladario 6
catas altas 6
miguel calmon 6
araruna 6
marechal floriano 6
juatuba 6
mendonca 6
campos de julio 6
santo antonio do descoberto 6
quatis 6
corrente 6
pedralva 6
ibicarai 6
irapuru 6
nova esperanca do sul 6
pedra preta 6
sanclerlandia 6
sales oliveira 6
caninde 6
itarana 6
jesuania 6
sao romao 6
santo antonio do jardim 6
barcarena 6
barra do ribeiro 6
casa nova 6
guadalupe 6
bataguassu 6
buriticupu 6
santo amaro de campos 6
colonia vitoria 6
jaiba 6
frei inocencio 6
rio das flores 6
silva jardim 6
condor 6
torrinha 6
juruaia 6
carmo da mata 6
bom principio 6
iepe 6
oeiras 6
conquista 6
barbalha 6
areias 6
areado 6
guarai 6
santa cruz 6
rio do campo 6
livramento de nossa senhora 6
delmiro gouveia 6
piratuba 6
lima duarte 6
guapo 6
abelardo luz 6
aurora 6
tocantins 6
tres coroas 6
esperanca 6
sao jose do ouro 6
presidente olegario 6
claudia 6
aguas formosas 6
campinas do sul 6
turvo 6
ascurra 6
tabira 6
tapes 6
paulistana 6
paraiso 6
nova alvorada do sul 6
paranaita 6
holambra ii 6
guapiacu 6
juara 6
otacilio costa 6
datas 6
orizona 6
soledade de minas 6
sabinopolis 6
araputanga 6
camapua 6
nova hartz 6
general salgado 6
itaberai 6
pedregulho 6
cabrobo 6
quixabeira 6
sao sebastiao do alto 6
cambuquira 6
sananduva 6
mato verde 6
pacaja 6
cardoso moreira 6
candido godoi 6
vargem bonita 6
nova trento 6
rio casca 6
apiaca 6
alexania 6
cocalinho 6
dionisio cerqueira 6
itapaje 6
feira nova 6
iraquara 6
buenopolis 6
guarei 6
cabreuva 6
santa tereza do oeste 6
garuva 6
agua branca 6
butia 6
ipora do oeste 6
conceicao do rio verde 6
quixeramobim 6
pains 6
cassia 6
urania 6
colinas 6
rio branco do sul 6
acu 6
carapebus 5
candido de abreu 5
santa cruz de minas 5
divinolandia de minas 5
catuipe 5
maracana 5
vargem alta 5
fundao 5
aracoiaba 5
bituruna 5
paraipaba 5
campos altos 5
araujos 5
capao do leao 5
palmitos 5
quintana 5
orindiuva 5
ipiranga 5
capao do cipo 5
andrelandia 5
quatigua 5
sete barras 5
palmitinho 5
cacequi 5
eugenopolis 5
palmeira d'oeste 5
quatro bocas 5
joviania 5
bonfim 5
silveiras 5
itarantim 5
serra dos aimores 5
santanesia 5
maristela 5
jauru 5
sao sebastiao do passe 5
cruzilia 5
sud mennucci 5
estacao 5
dom pedro 5
alto araguaia 5
delfinopolis 5
ipumirim 5
guaraniacu 5
macau 5
guaranta 5
tarabai 5
igarata 5
ocaucu 5
conceicao da feira 5
minas novas 5
santo antonio do amparo 5
ze doca 5
nova bandeirantes 5
lagoa da confusao 5
conceicao das pedras 5
urbano santos 5
cidreira 5
jatoba 5
peabiru 5
campo alegre 5
nova mutum 5
general carneiro 5
imbuia 5
tres barras 5
boa vista da aparecida 5
paraibano 5
terra de areia 5
candelaria 5
dores do rio preto 5
palmares do sul 5
rio pardo 5
castelandia 5
serra do ramalho 5
sao tiago 5
riachao do jacuipe 5
granja 5
teolandia 5
varjota 5
massaranduba 5
matias olimpio 5
conceicao do castelo 5
rio manso 5
sertanopolis 5
itaju 5
esperantina 5
guaranta do norte 5
horizonte 5
pecanha 5
jacupiranga 5
abre campo 5
irapua 5
macaiba 5
santa quiteria 5
gouveia 5
ipiabas 5
laurentino 5
salto do jacui 5
maragogi 5
iapu 5
jardim 5
toritama 5
clevelandia 5
sirinhaem 5
nova fatima 5
muqui 5
jumirim 5
agua doce do norte 5
guabiruba 5
santa monica 5
barro 5
vargem alegre 5
montalvania 5
parambu 5
itaipava 5
cocal do sul 5
vera 5
grajau 5
sao bento 5
urucui 5
sao miguel dos campos 5
itapecuru mirim 5
castelo do piaui 5
pedra azul 5
riacho de santana 5
arandu 5
mendes pimentel 5
sao roque do canaa 5
rio azul 5
santa fe 5
ibirarema 5
sao miguel do guapore 5
corupa 5
upanema 5
sao miguel do guama 5
remanso 5
papagaios 5
pedro canario 5
pedrinopolis 5
andorinha 5
rio bananal 5
sao geraldo 5
capivari de baixo 5
iconha 5
araguatins 5
goianapolis 5
alto parnaiba 5
prado 5
sertao 5
palma sola 5
adolfo 5
chui 5
japira 5
travessao 5
altos 5
porteirinha 5
inacio martins 5
brauna 5
icapui 5
tabatinga 5
campos gerais 5
santa maria de itabira 5
cachoeira 5
nova bassano 5
figueira 5
arealva 5
surubim 5
santo antonio do sudoeste 5
santo antonio das missoes 5
manoel ribas 5
roque gonzales 5
campos sales 5
lago da pedra 5
utinga 5
sao miguel 5
bom sucesso 5
pinheiro machado 5
sao domingos do prata 5
esplanada 5
eneas marques 5
pacatuba 5
ariranha 5
indianopolis 5
anita garibaldi 5
itapaci 5
munhoz 5
tailandia 5
cunha pora 5
pongai 5
roseira 5
bom jesus do tocantins 5
bom repouso 5
sales 5
colombia 5
joao lisboa 5
jordania 5
colonia jordaozinho 5
jardim do serido 5
itauba 5
una 5
capim grosso 5
itapagipe 5
jaguaribe 5
ribeirao do pinhal 5
monte azul 5
sao ludgero 4
crisopolis 4
terra boa 4
santana do acarau 4
janiopolis 4
fatima 4
jucurutu 4
juti 4
matipo 4
merces 4
irineopolis 4
tarumirim 4
itatinga 4
morro de sao paulo 4
cristais paulista 4
milagres 4
inaciolandia 4
oriente 4
morada nova de minas 4
itaituba 4
ilha de itamaraca 4
teixeira soares 4
altaneira 4
chapada dos guimaraes 4
maripa 4
formoso do araguaia 4
pedreiras 4
sertania 4
altinopolis 4
canelinha 4
parelhas 4
iati 4
balneario arroio do silva 4
renascenca 4
bueno brandao 4
belo vale 4
carajas 4
congonhal 4
cidelandia 4
pinheiro 4
curralinho 4
campo do meio 4
conceicao do para 4
curiuva 4
sanharo 4
quarai 4
uniao de minas 4
piranhas 4
santa cruz de monte castelo 4
inaja 4
carambei 4
passira 4
dumont 4
belmonte 4
raposo 4
sao bento do una 4
vianopolis 4
balneario rincao 4
munhoz de melo 4
imigrante 4
carius 4
chapada 4
iguatama 4
mutuipe 4
senador pompeu 4
nova canaa do norte 4
guaruja do sul 4
sideropolis 4
edeia 4
arace 4
itanhomi 4
rio preto 4
sao jose do egito 4
cameta 4
padre bernardo 4
buerarema 4
joao ramalho 4
gameleira 4
santa fe de goias 4
lavinia 4
forquilha 4
santa lucia 4
mandaguacu 4
amelia rodrigues 4
saloa 4
tibagi 4
rio real 4
setubinha 4
ritapolis 4
maracacume 4
humaita 4
jacaraci 4
santa mariana 4
nova santa rosa 4
lucianopolis 4
itaquitinga 4
salto veloso 4
araci 4
jacinto machado 4
angulo 4
maravilhas 4
lagoa nova 4
quilombo 4
ubaporanga 4
pirenopolis 4
ipu 4
mario campos 4
populina 4
governador portela 4
palma 4
iacu 4
valenca do piaui 4
saudade do iguacu 4
nova monte verde 4
bom jesus do norte 4
chopinzinho 4
sao jose da bela vista 4
florestopolis 4
itiuba 4
barros cassal 4
rio piracicaba 4
candiota 4
pocinhos 4
alcobaca 4
poco verde 4
coaraci 4
alto rio doce 4
centenario do sul 4
joaquim tavora 4
maurilandia 4
glicerio 4
perola d'oeste 4
sao miguel do anta 4
nova alvorada 4
santa cruz da conceicao 4
ouro preto do oeste 4
volta grande 4
monte carlo 4
fazenda nova 4
florida paulista 4
arroio grande 4
paracuru 4
jijoca de jericoacoara 4
jari 4
ribeirao 4
arneiroz 4
ubaitaba 4
itapemirim 4
sitio novo do tocantins 4
senhora de oliveira 4
gandu 4
itatim 4
tucuma 4
barbosa ferraz 4
dom basilio 4
goncalves 4
uibai 4
urubici 4
sapucai-mirim 4
arvorezinha 4
sao mateus do maranhao 4
sao valentim 4
eliseu martins 4
analandia 4
sao goncalo do para 4
candido rodrigues 4
ivinhema 4
corumbaiba 4
sao sebastiao da grama 4
capitao 4
ituacu 4
clementina 4
chapadinha 4
macedonia 4
santana do araguaia 4
ipubi 4
piedade do rio grande 4
cerro azul 4
aiuruoca 4
brejo da madre de deus 4
carmo da cachoeira 4
bom jesus do galho 4
flores 4
propria 4
bonfinopolis 4
pien 4
rianapolis 4
jaguaruana 4
miranda 4
pilar 4
trindade do sul 4
joaquim nabuco 4
piumhi 4
ibiraci 4
presidente tancredo neves 4
piranga 4
tejupa 4
nova aurora 4
salgado filho 4
irani 4
vera cruz do oeste 4
jesuitas 4
marco 4
entre-ijuis 4
francisco badaro 4
chapada gaucha 4
mirinzal 4
varre-sai 4
santana do mundau 4
jussara 4
pedrinhas paulista 4
conceicao dos ouros 4
cacule 4
rosana 4
santana do jacare 4
cabralia paulista 4
cristais 4
mato leitao 4
carbonita 4
itubera 4
santa terezinha de itaipu 4
uruoca 4
bernardino de campos 4
santana da vargem 4
gaurama 4
itaitinga 4
morretes 4
balneario barra do sul 4
pilao arcado 4
fatima do sul 4
tanhacu 4
aquidauana 4
sao pedro dos ferros 4
uaua 4
caiaponia 4
pedra 4
trombudo central 4
itaperucu 4
varzelandia 4
caarapo 4
morro reuter 4
bandeira do sul 4
reserva 4
sao tomas de aquino 4
peixoto de azevedo 4
hidreletrica tucurui 4
moju 4
bela cruz 4
barra do turvo 4
picarra 4
rio bonito do iguacu 4
guaraci 4
condado 4
ibiam 4
jacui 4
mantenopolis 4
governador celso ramos 4
parauna 4
ribeirao do sul 4
rio novo 4
barreirinhas 4
itinga 4
pitanga 4
vila rica 4
sao jorge do ivai 4
itororo 4
goianinha 4
cruzalia 4
uruana 4
avelar 4
tres irmaos 4
iaciara 4
cabo verde 4
anta gorda 4
posto da mata 4
itabela 4
vila dos cabanos 4
guaraciaba do norte 4
barra do bugres 4
dom silverio 4
ilhota 4
nova olinda do maranhao 4
sao jose do turvo 4
antonio carlos 4
guimarania 4
cachoeira dourada 3
oscar bressane 3
itambaraca 3
colniza 3
lobato 3
correntina 3
areia branca 3
florestal 3
monte verde 3
coruripe 3
itaoca 3
senador amaral 3
sao goncalo do rio preto 3
ibicoara 3
piata 3
tres arroios 3
sapeacu 3
jaciara 3
entre rios do oeste 3
caldeirao grande 3
alvares florence 3
carmo de minas 3
bacuri 3
campestre 3
cuite 3
espirito santo do turvo 3
julio mesquita 3
boninal 3
limeira do oeste 3
taquarivai 3
itueta 3
moreira sales 3
mairi 3
brasileia 3
descoberto 3
denise 3
sao joao do oriente 3
vere 3
miranorte 3
sao vicente ferrer 3
pantano grande 3
santana dos montes 3
grao mogol 3
verissimo 3
senador guiomard 3
balneario gaivota 3
amapora 3
santana do serido 3
valentim gentil 3
caravelas 3
tamarana 3
visconde de maua 3
pedro afonso 3
catu de abrantes 3
salmourao 3
sao joao do sul 3
coelho neto 3
sinimbu 3
gaucha do norte 3
esperantinopolis 3
reginopolis 3
tabuleiro 3
cururupu 3
echapora 3
santa mercedes 3
augusto correa 3
camutanga 3
tenente portela 3
antonio prado de minas 3
rinopolis 3
apodi 3
lupercio 3
santa clara do sul 3
mineiros do tiete 3
rondon 3
rodeio bonito 3
meleiro 3
restinga seca 3
juruena 3
tabocas do brejo velho 3
coluna 3
sao jose do cerrito 3
pedro osorio 3
ponte serrada 3
tupandi 3
santo antonio da alegria 3
arrozal 3
santa cruz de goias 3
areiopolis 3
riolandia 3
vila nelita 3
toropi 3
coracao de jesus 3
timburi 3
rubim 3
curuca 3
santa helena de minas 3
sao joao batista do gloria 3
camocim de sao felix 3
maioba 3
xique-xique 3
lagoa dos gatos 3
concordia do para 3
ladainha 3
castanheira 3
campos borges 3
alto santo 3
belo campo 3
cabeceira grande 3
nova canaa paulista 3
teofilandia 3
mercedes 3
antonio pereira 3
quixere 3
paranatinga 3
ilha comprida 3
iguaracu 3
barra do choca 3
colinas do tocantins 3
santa margarida 3
lagoinha 3
machadinho d'oeste 3
nova cruz 3
sao sebastiao do maranhao 3
jequia da praia 3
umbauba 3
lavras do sul 3
abadia dos dourados 3
piedade dos gerais 3
itapissuma 3
itabaianinha 3
santa isabel do ivai 3
rio fortuna 3
santa rosa de lima 3
tucunduva 3
ubata 3
sao pedro do ivai 3
santana do manhuacu 3
terra nova do norte 3
neves paulista 3
mombuca 3
capitao poco 3
batalha 3
tanque novo 3
anta 3
xambioa 3
capela do alto 3
vila langaro 3
colonia leopoldina 3
ribeirao vermelho 3
caraubas 3
cachoeira de pajeu 3
serrolandia 3
barra do mendes 3
cristalandia 3
lagoa do ouro 3
guapiara 3
pouso alto 3
ivate 3
arenapolis 3
uchoa 3
goianesia do para 3
pereiro 3
jose de freitas 3
carlos chagas 3
cariri do tocantins 3
ita 3
seringueiras 3
pindobacu 3
ipiacu 3
vista alegre do alto 3
sao joao de iracema 3
patu 3
rio de contas 3
formoso 3
dormentes 3
pouso redondo 3
laranjal do jari 3
itirucu 3
buriti 3
maximiliano de almeida 3
sucesso 3
sao luis do paraitinga 3
nova erechim 3
alta floresta d'oeste 3
divisa alegre 3
olho d'agua das flores 3
quadra 3
alfredo vasconcelos 3
reriutaba 3
santa rita d'oeste 3
cedro de sao joao 3
tomazina 3
rodeiro 3
ibiai 3
dom vicoso 3
tiros 3
jundiai do sul 3
conceicao das alagoas 3
pedra bela 3
quinta do sol 3
luiziania 3
sao paulo das missoes 3
coronel joao sa 3
alianca do tocantins 3
beberibe 3
sao jose do hortencio 3
paranacity 3
pote 3
barro alto 3
sao pedro da uniao 3
alterosa 3
francisco dumont 3
campina da lagoa 3
anhandui 3
rodelas 3
herculandia 3
bela vista 3
cristalia 3
barras 3
manoel viana 3
jaborandi 3
indiana 3
carire 3
novo sao joaquim 3
itaja 3
luizlandia do oeste 3
itapora 3
urandi 3
ventania 3
arembepe 3
maria da fe 3
itacarambi 3
nazario 3
estrela do norte 3
oroco 3
lajinha 3
paranaiguara 3
santa rita de minas 3
bandeira 3
azurita 3
santo antonio do itambe 3
prudente de morais 3
luminarias 3
cristal 3
sao jose de uba 3
paraiso do norte 3
olindina 3
maranguape 3
virgem da lapa 3
altonia 3
juvenilia 3
borrazopolis 3
parai 3
caibate 3
alto jequitiba 3
recreio 3
liberdade 3
sao joao do triunfo 3
manga 3
sao francisco do conde 3
motuca 3
palmeiras de goias 3
areia branca dos assis 3
bom jesus das selvas 3
mari 3
mata grande 3
sao joao da mata 3
cambira 3
conceicao do jacuipe 3
curaca 3
durande 3
pocrane 3
wenceslau braz 3
novo oriente 3
timbe do sul 3
baturite 3
nova soure 3
barra dos coqueiros 3
fortuna 3
major vieira 3
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Name: customer_city, dtype: int64
Column: customer_state
SP 49566
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Name: customer_state, dtype: int64
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Column: seller_id
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Name: seller_id, dtype: int64
Column: payment_type
credit_card 86769
boleto 22867
voucher 6274
debit_card 1691
Name: payment_type, dtype: int64
Column: product_category_name
cama_mesa_banho 11823
beleza_saude 9972
esporte_lazer 8945
moveis_decoracao 8744
informatica_acessorios 8082
utilidades_domesticas 7355
relogios_presentes 6201
telefonia 4721
ferramentas_jardim 4574
automotivo 4379
brinquedos 4273
cool_stuff 3987
perfumaria 3560
bebes 3196
eletronicos 2845
papelaria 2617
fashion_bolsas_e_acessorios 2151
pet_shop 2028
moveis_escritorio 1778
consoles_games 1191
malas_acessorios 1163
construcao_ferramentas_construcao 951
eletrodomesticos 788
instrumentos_musicais 718
eletroportateis 701
casa_construcao 634
livros_interesse_geral 565
moveis_sala 528
alimentos 526
casa_conforto 475
bebidas 386
audio 380
market_place 332
construcao_ferramentas_iluminacao 313
climatizacao 302
moveis_cozinha_area_de_servico_jantar_e_jardim 298
alimentos_bebidas 289
fashion_calcados 274
telefonia_fixa 271
industria_comercio_e_negocios 271
livros_tecnicos 270
eletrodomesticos_2 268
agro_industria_e_comercio 252
construcao_ferramentas_jardim 245
pcs 220
artes 219
sinalizacao_e_seguranca 201
construcao_ferramentas_seguranca 199
artigos_de_natal 155
fashion_roupa_masculina 145
fashion_underwear_e_moda_praia 144
moveis_quarto 125
construcao_ferramentas_ferramentas 105
tablets_impressao_imagem 87
portateis_casa_forno_e_cafe 78
cine_foto 73
dvds_blu_ray 71
livros_importados 62
fashion_roupa_feminina 48
artigos_de_festas 46
moveis_colchao_e_estofado 41
musica 40
fraldas_higiene 39
flores 33
casa_conforto_2 31
fashion_esporte 30
artes_e_artesanato 24
la_cuisine 16
portateis_cozinha_e_preparadores_de_alimentos 15
cds_dvds_musicais 14
pc_gamer 10
fashion_roupa_infanto_juvenil 8
seguros_e_servicos 2
Name: product_category_name, dtype: int64
Column: seller_city
sao paulo 29157
ibitinga 8242
curitiba 3134
santo andre 3095
sao jose do rio preto 2682
belo horizonte 2679
rio de janeiro 2529
guarulhos 2438
ribeirao preto 2364
maringa 2259
piracicaba 2011
itaquaquecetuba 1750
campinas 1455
salto 1397
praia grande 1355
campo limpo paulista 1254
guariba 1186
sao bernardo do campo 1181
jacarei 1008
limeira 970
brasilia 908
petropolis 870
sao jose dos campos 828
porto alegre 828
ilicinea 808
pedreira 749
joinville 719
franca 681
sorocaba 639
atibaia 633
sumare 631
osasco 630
santos 585
araguari 561
cascavel 559
borda da mata 558
maua 513
blumenau 506
itatiba 494
barueri 491
jau 461
penapolis 459
uberlandia 455
presidente prudente 444
lauro de freitas 438
mogi das cruzes 417
londrina 414
recife 412
brusque 411
sao luis 409
sao goncalo 382
santa barbara d´oeste 369
hortolandia 355
assis 321
betim 317
santa barbara d'oeste 312
videira 311
indaiatuba 305
monte siao 304
goiania 300
sete lagoas 287
jundiai 284
tres coracoes 281
votorantim 276
riberao preto 276
itauna 274
itajai 273
guara 270
laranjal paulista 266
florianopolis 259
dracena 246
uba 243
cariacica 242
araraquara 241
cotia 240
marilia 240
ribeirao pires 239
teresopolis 238
mogi guacu 237
caxias do sul 235
porto ferreira 232
vicente de carvalho 232
jaragua do sul 225
carapicuiba 222
serra negra 219
rio do sul 212
cajamar 209
diadema 206
baependi 205
foz do iguacu 204
umuarama 200
bauru 196
contagem 190
itapecerica da serra 190
rolandia 187
pinhais 186
sarandi 185
capivari 183
sao caetano do sul 180
poa 178
canoas 178
pirituba 176
patos de minas 175
sao jose 173
santana de parnaiba 171
sao carlos 170
pradopolis 168
volta redonda 165
formiga 163
sao jose dos pinhais 162
canoinhas 159
tres rios 159
novo hamburgo 153
colombo 151
montenegro 149
louveira 148
arapongas 146
votuporanga 145
divinopolis 143
claudio 143
jaboticabal 142
birigui 140
salvador 139
botucatu 137
apucarana 137
navegantes 136
bebedouro 135
juiz de fora 130
lages 127
pocos de caldas 127
braganca paulista 121
sao ludgero 120
rio claro 119
garca 119
amparo 116
congonhal 115
timbo 114
s jose do rio preto 114
jacutinga 112
fernandopolis 111
americana 111
lencois paulista 110
jales 109
sao paulo - sp 108
santa rita do sapucai 106
sao roque 104
ponte nova 103
jussara 99
cruzeiro 98
francisco beltrao 97
valinhos 94
bombinhas 94
nova friburgo 92
cuiaba 89
suzano 89
tupa 88
niteroi 87
aparecida de goiania 86
aracatuba 83
taboao da serra 81
viamao 81
mesquita 81
teixeira soares 80
mirandopolis 79
campo largo 79
itapevi 78
registro 78
fazenda rio grande 75
ipaussu 75
nova iguacu 73
bertioga 71
jaguaruna 70
lajeado 70
jaguariuna 70
cachoeirinha 70
taubate 70
alfenas 69
guaruja 68
echapora 68
sao joaquim da barra 67
queimados 66
scao jose do rio pardo 65
santo angelo 64
batatais 64
tatui 64
icara 63
mineiros do tiete 63
carazinho 61
barretos 60
conselheiro lafaiete 59
andradas 58
cornelio procopio 57
sao paulo 56
campo mourao 56
sinop 56
mage 56
sao joao de meriti 55
mogi mirim 54
sao joao del rei 54
andira-pr 53
uberaba 52
lagoa da prata 51
fortaleza 51
ribeirao das neves 50
aparecida 50
loanda 50
nilopolis 49
sao sebastiao 48
fronteira 47
araras 46
paulinia 46
vicosa 46
catanduva 46
farroupilha 45
monteiro lobato 45
macae 44
cafelandia 43
campo grande 43
brejao 42
congonhas 42
toledo 42
morrinhos 42
coronel fabriciano 42
ferraz de vasconcelos 40
ibia 40
palhoca 40
tabatinga 40
ribeirao preto / sao paulo 40
santa terezinha de itaipu 39
mococa 39
natal 39
sp 39
vendas@creditparts.com.br 38
sao pedro 38
ipatinga 37
varzea paulista 37
paincandu 37
bariri 36
criciuma 36
dois corregos 36
tubarao 36
mirassol 36
vitoria 35
bento goncalves 35
caucaia 35
aruja 35
anapolis 35
gama 34
araucaria 33
mombuca 33
pompeia 33
novo horizonte 32
ampere 31
balneario camboriu 31
parai 31
portao 31
arraial d'ajuda (porto seguro) 31
pilar do sul 30
itu 30
varginha 29
barra mansa 29
ilheus 28
embu guacu 27
duque de caxias 27
uruacu 27
concordia 27
mateus leme 26
muqui 26
sao jose do rio pardo 26
paraiba do sul 25
tiradentes 25
ponta grossa 25
socorro 25
garulhos 25
arvorezinha 24
curitibanos 24
artur nogueira 24
itajobi 23
bady bassitt 23
mairipora 23
floresta 23
guaratuba 23
braco do norte 23
domingos martins 23
guanambi 22
sombrio 22
campina das missoes 22
massaranduba 22
marechal candido rondon 22
vila velha 22
tanabi 21
conchal 21
ubatuba 21
santo antonio de posse 21
campo bom 21
castro 21
cerqueira cesar 20
aperibe 20
mandaguacu 19
ouro preto 19
rio grande 18
cosmopolis 18
serrana 18
boituva 18
descalvado 18
rio verde 18
itaborai 17
sao paulo / sao paulo 17
paranavai 17
campo do meio 17
pederneiras 17
sao bento do sul 17
coxim 17
engenheiro coelho 17
mamanguape 16
porto belo 16
santo antonio de padua 16
luziania 16
timoteo 16
vargem grande paulista 16
ouro fino 16
sao bento 15
vargem grande do sul 15
sando andre 15
porto seguro 15
saquarema 15
mogi das cruses 15
estancia velha 15
imbituba 15
buritama 15
mandirituba 15
cachoeiro de itapemirim 14
parnamirim 14
pitanga 14
eunapolis 14
nova odessa 14
rodeio 14
lagoa santa 14
garopaba 14
taruma 13
tres de maio 13
santo andre/sao paulo 13
marica 13
sao leopoldo 13
bocaiuva do sul 13
pelotas 13
sao pedro da aldeia 13
santa rosa de viterbo 12
vassouras 12
campos dos goytacazes 12
mucambo 12
camanducaia 12
cananeia 12
sp / sp 12
teresina 12
itaipulandia 12
formosa do oeste 11
japira 11
flores da cunha 11
pinhalao 11
nova lima 11
lorena 11
tiete 11
arinos 11
mairinque 10
pato branco 10
imbe 10
sbc/sp 10
santa barbara d oeste 10
laurentino 10
centro 10
joao pessoa 10
serra 10
colorado 10
rolante 10
guanhaes 10
indaial 9
xanxere 9
santa terezinha de goias 9
rio bonito 9
auriflama 9
jacarei / sao paulo 9
presidente epitacio 9
venancio aires 9
carapicuiba / sao paulo 9
sao paluo 9
auriflama/sp 9
franco da rocha 8
igaracu do tiete 8
luiz alves 8
piracanjuba 8
itapeva 8
chapeco 8
vespasiano 8
nova petropolis 8
entre rios do oeste 8
pedregulho 8
caruaru 8
tabao da serra 8
imbituva 8
cariacica / es 8
carmo do cajuru 8
ji parana 8
barra velha 7
jaci 7
alvorada 7
sabara 7
bandeirantes 7
sao jose dos pinhas 7
presidente bernardes 7
holambra 7
paulo lopes 7
sao paulop 7
muriae 7
francisco morato 7
terra boa 7
rio de janeiro \rio de janeiro 6
afonso claudio 6
leme 6
garuva 6
california 6
porto velho 6
cambe 6
monte alto 6
bonfinopolis de minas 6
angra dos reis 6
igrejinha 6
laguna 6
rio negrinho 6
orlandia 6
montes claros 6
ararangua 6
alvares machado 6
paraiso do sul 5
brasilia df 5
camboriu 5
sao jose do rio pret 5
santa maria da serra 5
alambari 5
itirapina 5
portoferreira 5
jaragua 5
pinhalzinho 5
bahia 5
extrema 5
clementina 5
rio de janeiro / rio de janeiro 5
neopolis 5
ipira 5
aracaju 5
pinhais/pr 4
mandaguari 4
joao monlevade 4
brotas 4
cataguases 4
itabira 4
colatina 4
santa cecilia 4
santa rosa 4
armacao dos buzios 4
jambeiro 4
joao pinheiro 4
osvaldo cruz 4
santa maria 4
picarras 4
ao bernardo do campo 4
monte alegre do sul 4
guiricema 4
cordeiropolis 4
torres 4
irati 4
caieiras 4
araxa 4
vitoria de santo antao 3
dores de campos 3
campo magro 3
oliveira 3
goioere 3
lages - sc 3
ourinhos 3
fernando prestes 3
embu das artes 3
pato bragado 3
guarapuava 3
laranjeiras do sul 3
xaxim 3
olimpia 3
feira de santana 3
manaus 3
miguelopolis 3
pedro leopoldo 3
bofete 3
itaporanga 3
itau de minas 3
balenario camboriu 3
cravinhos 3
triunfo 3
cachoeira do sul 3
itapetininga 3
taio 3
rio do oeste 3
santa cruz do sul 3
caratinga 3
pedrinhas paulista 3
macatuba 3
bom jesus dos perdoes 3
sertanopolis 3
treze tilias 3
barrinha 2
campina grande 2
guaimbe 2
sao jose dos pinhais 2
governador valadares 2
ipe 2
são paulo 2
robeirao preto 2
sao vicente 2
itapema 2
belford roxo 2
maua/sao paulo 2
bom jardim 2
sao francisco do sul 2
santo antonio da patrulha 2
floranopolis 2
rio de janeiro, rio de janeiro, brasil 2
jaciara 2
horizontina 2
ribeirao pretp 2
vera cruz 2
ivoti 2
lambari 2
almirante tamandare 2
sao miguel d'oeste 2
soledade 2
sao joao da boa vista 2
ferraz de vasconcelos 2
parana 2
nova trento 2
formosa 2
janauba 2
varzea alegre 2
gaspar 2
guaira 2
cacador 2
sao bernardo do capo 2
prados 2
erechim 2
imigrante 1
marapoama 1
avare 1
guaratingueta 1
cascavael 1
araquari 1
barbacena 1
sao miguel do oeste 1
pirassununga 1
sao sebastiao da grama/sp 1
tres coroas 1
minas gerais 1
jarinu 1
divisa nova 1
pouso alegre 1
pacatuba 1
campanha 1
marialva 1
mogi das cruzes / sp 1
condor 1
aguas claras df 1
messias targino 1
medianeira 1
orleans 1
novo hamburgo, rio grande do sul, brasil 1
presidente getulio 1
barbacena/ minas gerais 1
cianorte 1
ibirite 1
belo horizont 1
viana 1
palotina 1
santa catarina 1
sao paulo sp 1
serra redonda 1
04482255 1
paracambi 1
pitangueiras 1
uniao da vitoria 1
eusebio 1
barro alto 1
tocantins 1
sao pauo 1
sapiranga 1
resende 1
campos novos 1
irece 1
cordilheira alta 1
juzeiro do norte 1
castro pires 1
ipua 1
uruguaiana 1
passos 1
rio branco 1
ronda alta 1
sbc 1
itapui 1
bage 1
angra dos reis rj 1
carmo da mata 1
nhandeara 1
rio das pedras 1
tambau 1
abadia de goias 1
Name: seller_city, dtype: int64
Column: seller_state
SP 83854
MG 9260
PR 9014
RJ 5017
SC 4257
RS 2283
DF 947
BA 698
GO 549
PE 465
MA 409
ES 390
MT 147
CE 103
MS 60
RN 56
PB 44
RO 14
PI 12
SE 10
PA 8
AM 3
AC 1
Name: seller_state, dtype: int64
Column: product_category_name_english
bed_bath_table 11823
health_beauty 9972
sports_leisure 8945
furniture_decor 8744
computers_accessories 8082
housewares 7355
watches_gifts 6201
telephony 4721
garden_tools 4574
auto 4379
toys 4273
cool_stuff 3987
perfumery 3560
baby 3196
electronics 2845
stationery 2617
fashion_bags_accessories 2151
pet_shop 2028
office_furniture 1778
consoles_games 1191
luggage_accessories 1163
construction_tools_construction 951
home_appliances 788
musical_instruments 718
small_appliances 701
home_construction 634
books_general_interest 565
furniture_living_room 528
food 526
home_confort 475
drinks 386
audio 380
market_place 332
construction_tools_lights 313
air_conditioning 302
kitchen_dining_laundry_garden_furniture 298
food_drink 289
fashion_shoes 274
fixed_telephony 271
industry_commerce_and_business 271
books_technical 270
home_appliances_2 268
agro_industry_and_commerce 252
costruction_tools_garden 245
computers 220
art 219
signaling_and_security 201
construction_tools_safety 199
christmas_supplies 155
fashion_male_clothing 145
fashion_underwear_beach 144
furniture_bedroom 125
costruction_tools_tools 105
tablets_printing_image 87
small_appliances_home_oven_and_coffee 78
cine_photo 73
dvds_blu_ray 71
books_imported 62
fashio_female_clothing 48
party_supplies 46
furniture_mattress_and_upholstery 41
music 40
diapers_and_hygiene 39
flowers 33
home_comfort_2 31
fashion_sport 30
arts_and_craftmanship 24
la_cuisine 16
cds_dvds_musicals 14
fashion_childrens_clothes 8
security_and_services 2
Name: product_category_name_english, dtype: int64
df_raw['customer_unique_id'].nunique()
95419
df_raw['order_id'].nunique()
98665
df_raw['product_id'].nunique()
32951
df_raw['seller_id'].nunique()
3095
Based on the above counts we can see that, there are about 95,419 unique customers. And about 32,951 products and 3,095 sellers.
#customer counts by state
state = df_raw.groupby('customer_state').count().reset_index()
consumers_by_state = state.sort_values(by=['customer_unique_id'])
ax = sns.barplot(x = 'customer_state', y = 'customer_unique_id', data = consumers_by_state)
ax.set(ylim=(0, 50000))
plt.show()
Most of the customers live in Sao Paulo. Followed by Rio de Janeiro after a considerable margin.
#orders by state
ax = sns.barplot(x = 'customer_state', y = 'order_id', data = consumers_by_state)
ax.set(ylim=(0, 50000))
plt.show()
It is not surprising to see that most orders are from Sao Paulo.
df_raw.head()
| order_id | customer_id | order_status | order_purchase_timestamp | order_approved_at | order_delivered_carrier_date | order_delivered_customer_date | order_estimated_delivery_date | customer_unique_id | customer_zip_code_prefix | ... | product_description_lenght | product_photos_qty | product_weight_g | product_length_cm | product_height_cm | product_width_cm | seller_zip_code_prefix | seller_city | seller_state | product_category_name_english | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 1 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 2 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 3 | 128e10d95713541c87cd1a2e48201934 | a20e8105f23924cd00833fd87daa0831 | delivered | 2017-08-15 18:29:31 | 2017-08-15 20:05:16 | 2017-08-17 15:28:33 | 2017-08-18 14:44:43 | 2017-08-28 | 3a51803cc0d012c3b5dc8b7528cb05f7 | 3366 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 4 | 0e7e841ddf8f8f2de2bad69267ecfbcf | 26c7ac168e1433912a51b924fbd34d34 | delivered | 2017-08-02 18:24:47 | 2017-08-02 18:43:15 | 2017-08-04 17:35:43 | 2017-08-07 18:30:01 | 2017-08-15 | ef0996a1a279c26e7ecbd737be23d235 | 2290 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
5 rows × 34 columns
#product counts
sns.countplot(x = 'product_category_name_english',data = df_raw, order=df_raw.value_counts('product_category_name_english').iloc[:10].index)
<AxesSubplot:xlabel='product_category_name_english', ylabel='count'>
Most of the orders placed are from bed_bath_table category followed by health_beauty by almost 2,000.
#sellers by state
state = df_raw.groupby('seller_state').count().reset_index()
sellers_by_state = state.sort_values(by=['seller_id'])
ax = sns.barplot(x = 'seller_state', y = 'order_id', data = sellers_by_state)
ax.set(ylim=(0, 50000))
plt.show()
This comes as no surprise that most of the sellers are from Sao Paulo, since most of the orders are from Sao Paulo itself.
#method to split timestamp into year, month, day and weekday or weekday columns
def to_date_column(dataframe,column:str):
dataframe["dt_"+column] = pd.to_datetime(dataframe[column], format="%y%m%d%H")
dataframe[column+"_year"] = dataframe["dt_"+column].dt.year
dataframe[column+"_month"] = dataframe["dt_"+column].dt.month
dataframe[column+"_day"] = dataframe["dt_"+column].dt.day
dataframe[column+"_int_hour"] = dataframe["dt_"+column].dt.hour
dataframe[column+"_is_weekday"] = dataframe["dt_"+column].dt.dayofweek
dataframe[column+"_is_weekend"] = dataframe.apply(lambda x: x[column+"_is_weekday"] in [5, 6], axis=1)
df_raw.head()
| order_id | customer_id | order_status | order_purchase_timestamp | order_approved_at | order_delivered_carrier_date | order_delivered_customer_date | order_estimated_delivery_date | customer_unique_id | customer_zip_code_prefix | ... | product_description_lenght | product_photos_qty | product_weight_g | product_length_cm | product_height_cm | product_width_cm | seller_zip_code_prefix | seller_city | seller_state | product_category_name_english | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 1 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 2 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 3 | 128e10d95713541c87cd1a2e48201934 | a20e8105f23924cd00833fd87daa0831 | delivered | 2017-08-15 18:29:31 | 2017-08-15 20:05:16 | 2017-08-17 15:28:33 | 2017-08-18 14:44:43 | 2017-08-28 | 3a51803cc0d012c3b5dc8b7528cb05f7 | 3366 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
| 4 | 0e7e841ddf8f8f2de2bad69267ecfbcf | 26c7ac168e1433912a51b924fbd34d34 | delivered | 2017-08-02 18:24:47 | 2017-08-02 18:43:15 | 2017-08-04 17:35:43 | 2017-08-07 18:30:01 | 2017-08-15 | ef0996a1a279c26e7ecbd737be23d235 | 2290 | ... | 268.0 | 4.0 | 500.0 | 19.0 | 8.0 | 13.0 | 9350 | maua | SP | housewares |
5 rows × 34 columns
to_date_column(df_raw,'order_purchase_timestamp')
df_raw.head()
| order_id | customer_id | order_status | order_purchase_timestamp | order_approved_at | order_delivered_carrier_date | order_delivered_customer_date | order_estimated_delivery_date | customer_unique_id | customer_zip_code_prefix | ... | seller_city | seller_state | product_category_name_english | dt_order_purchase_timestamp | order_purchase_timestamp_year | order_purchase_timestamp_month | order_purchase_timestamp_day | order_purchase_timestamp_int_hour | order_purchase_timestamp_is_weekday | order_purchase_timestamp_is_weekend | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | maua | SP | housewares | 2017-10-02 10:56:33 | 2017 | 10 | 2 | 10 | 0 | False |
| 1 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | maua | SP | housewares | 2017-10-02 10:56:33 | 2017 | 10 | 2 | 10 | 0 | False |
| 2 | e481f51cbdc54678b7cc49136f2d6af7 | 9ef432eb6251297304e76186b10a928d | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 7c396fd4830fd04220f754e42b4e5bff | 3149 | ... | maua | SP | housewares | 2017-10-02 10:56:33 | 2017 | 10 | 2 | 10 | 0 | False |
| 3 | 128e10d95713541c87cd1a2e48201934 | a20e8105f23924cd00833fd87daa0831 | delivered | 2017-08-15 18:29:31 | 2017-08-15 20:05:16 | 2017-08-17 15:28:33 | 2017-08-18 14:44:43 | 2017-08-28 | 3a51803cc0d012c3b5dc8b7528cb05f7 | 3366 | ... | maua | SP | housewares | 2017-08-15 18:29:31 | 2017 | 8 | 15 | 18 | 1 | False |
| 4 | 0e7e841ddf8f8f2de2bad69267ecfbcf | 26c7ac168e1433912a51b924fbd34d34 | delivered | 2017-08-02 18:24:47 | 2017-08-02 18:43:15 | 2017-08-04 17:35:43 | 2017-08-07 18:30:01 | 2017-08-15 | ef0996a1a279c26e7ecbd737be23d235 | 2290 | ... | maua | SP | housewares | 2017-08-02 18:24:47 | 2017 | 8 | 2 | 18 | 2 | False |
5 rows × 41 columns
#order purchase timestamp hour counts
sns.countplot(x = 'order_purchase_timestamp_int_hour', data = df_raw)
<AxesSubplot:xlabel='order_purchase_timestamp_int_hour', ylabel='count'>
As per the above plot, most of the orders are placed stating from 8 AM till 11 PM. While 4 PM being the most active hour.
#dropping unique id columns
df_raw.drop(['order_id','customer_id','customer_unique_id','order_item_id','product_id','seller_id','product_category_name'],axis=1,inplace=True)
df_raw.head()
| order_status | order_purchase_timestamp | order_approved_at | order_delivered_carrier_date | order_delivered_customer_date | order_estimated_delivery_date | customer_zip_code_prefix | customer_city | customer_state | shipping_limit_date | ... | seller_city | seller_state | product_category_name_english | dt_order_purchase_timestamp | order_purchase_timestamp_year | order_purchase_timestamp_month | order_purchase_timestamp_day | order_purchase_timestamp_int_hour | order_purchase_timestamp_is_weekday | order_purchase_timestamp_is_weekend | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 3149 | sao paulo | SP | 2017-10-06 11:07:15 | ... | maua | SP | housewares | 2017-10-02 10:56:33 | 2017 | 10 | 2 | 10 | 0 | False |
| 1 | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 3149 | sao paulo | SP | 2017-10-06 11:07:15 | ... | maua | SP | housewares | 2017-10-02 10:56:33 | 2017 | 10 | 2 | 10 | 0 | False |
| 2 | delivered | 2017-10-02 10:56:33 | 2017-10-02 11:07:15 | 2017-10-04 19:55:00 | 2017-10-10 21:25:13 | 2017-10-18 | 3149 | sao paulo | SP | 2017-10-06 11:07:15 | ... | maua | SP | housewares | 2017-10-02 10:56:33 | 2017 | 10 | 2 | 10 | 0 | False |
| 3 | delivered | 2017-08-15 18:29:31 | 2017-08-15 20:05:16 | 2017-08-17 15:28:33 | 2017-08-18 14:44:43 | 2017-08-28 | 3366 | sao paulo | SP | 2017-08-21 20:05:16 | ... | maua | SP | housewares | 2017-08-15 18:29:31 | 2017 | 8 | 15 | 18 | 1 | False |
| 4 | delivered | 2017-08-02 18:24:47 | 2017-08-02 18:43:15 | 2017-08-04 17:35:43 | 2017-08-07 18:30:01 | 2017-08-15 | 2290 | sao paulo | SP | 2017-08-08 18:37:31 | ... | maua | SP | housewares | 2017-08-02 18:24:47 | 2017 | 8 | 2 | 18 | 2 | False |
5 rows × 34 columns
#checking for NaNs
df_raw.isna().any()
order_status False order_purchase_timestamp False order_approved_at True order_delivered_carrier_date True order_delivered_customer_date True order_estimated_delivery_date False customer_zip_code_prefix False customer_city False customer_state False shipping_limit_date False price False freight_value False payment_sequential False payment_type False payment_installments False payment_value False product_name_lenght True product_description_lenght True product_photos_qty True product_weight_g True product_length_cm True product_height_cm True product_width_cm True seller_zip_code_prefix False seller_city False seller_state False product_category_name_english True dt_order_purchase_timestamp False order_purchase_timestamp_year False order_purchase_timestamp_month False order_purchase_timestamp_day False order_purchase_timestamp_int_hour False order_purchase_timestamp_is_weekday False order_purchase_timestamp_is_weekend False dtype: bool
#converting timestamps to year, month, day, weekday or weekend columns
for col in ['order_approved_at','order_delivered_carrier_date','order_delivered_customer_date','order_estimated_delivery_date','shipping_limit_date']:
to_date_column(df_raw,col)
df_raw.isna().any()
order_status False order_purchase_timestamp False order_approved_at True order_delivered_carrier_date True order_delivered_customer_date True order_estimated_delivery_date False customer_zip_code_prefix False customer_city False customer_state False shipping_limit_date False price False freight_value False payment_sequential False payment_type False payment_installments False payment_value False product_name_lenght True product_description_lenght True product_photos_qty True product_weight_g True product_length_cm True product_height_cm True product_width_cm True seller_zip_code_prefix False seller_city False seller_state False product_category_name_english True dt_order_purchase_timestamp False order_purchase_timestamp_year False order_purchase_timestamp_month False order_purchase_timestamp_day False order_purchase_timestamp_int_hour False order_purchase_timestamp_is_weekday False order_purchase_timestamp_is_weekend False dt_order_approved_at True order_approved_at_year True order_approved_at_month True order_approved_at_day True order_approved_at_int_hour True order_approved_at_is_weekday True order_approved_at_is_weekend False dt_order_delivered_carrier_date True order_delivered_carrier_date_year True order_delivered_carrier_date_month True order_delivered_carrier_date_day True order_delivered_carrier_date_int_hour True order_delivered_carrier_date_is_weekday True order_delivered_carrier_date_is_weekend False dt_order_delivered_customer_date True order_delivered_customer_date_year True order_delivered_customer_date_month True order_delivered_customer_date_day True order_delivered_customer_date_int_hour True order_delivered_customer_date_is_weekday True order_delivered_customer_date_is_weekend False dt_order_estimated_delivery_date False order_estimated_delivery_date_year False order_estimated_delivery_date_month False order_estimated_delivery_date_day False order_estimated_delivery_date_int_hour False order_estimated_delivery_date_is_weekday False order_estimated_delivery_date_is_weekend False dt_shipping_limit_date False shipping_limit_date_year False shipping_limit_date_month False shipping_limit_date_day False shipping_limit_date_int_hour False shipping_limit_date_is_weekday False shipping_limit_date_is_weekend False dtype: bool
df_raw.dropna(inplace=True)
df_raw.drop(['order_purchase_timestamp','customer_zip_code_prefix','seller_zip_code_prefix','order_approved_at','order_delivered_carrier_date','order_delivered_customer_date','order_estimated_delivery_date','shipping_limit_date','dt_order_purchase_timestamp','dt_order_approved_at',
'dt_order_delivered_carrier_date','dt_order_delivered_customer_date','dt_order_estimated_delivery_date','dt_shipping_limit_date'],axis=1,inplace=True)
df_raw.columns
Index(['order_status', 'customer_city', 'customer_state', 'price',
'freight_value', 'payment_sequential', 'payment_type',
'payment_installments', 'payment_value', 'product_name_lenght',
'product_description_lenght', 'product_photos_qty', 'product_weight_g',
'product_length_cm', 'product_height_cm', 'product_width_cm',
'seller_city', 'seller_state', 'product_category_name_english',
'order_purchase_timestamp_year', 'order_purchase_timestamp_month',
'order_purchase_timestamp_day', 'order_purchase_timestamp_int_hour',
'order_purchase_timestamp_is_weekday',
'order_purchase_timestamp_is_weekend', 'order_approved_at_year',
'order_approved_at_month', 'order_approved_at_day',
'order_approved_at_int_hour', 'order_approved_at_is_weekday',
'order_approved_at_is_weekend', 'order_delivered_carrier_date_year',
'order_delivered_carrier_date_month',
'order_delivered_carrier_date_day',
'order_delivered_carrier_date_int_hour',
'order_delivered_carrier_date_is_weekday',
'order_delivered_carrier_date_is_weekend',
'order_delivered_customer_date_year',
'order_delivered_customer_date_month',
'order_delivered_customer_date_day',
'order_delivered_customer_date_int_hour',
'order_delivered_customer_date_is_weekday',
'order_delivered_customer_date_is_weekend',
'order_estimated_delivery_date_year',
'order_estimated_delivery_date_month',
'order_estimated_delivery_date_day',
'order_estimated_delivery_date_int_hour',
'order_estimated_delivery_date_is_weekday',
'order_estimated_delivery_date_is_weekend', 'shipping_limit_date_year',
'shipping_limit_date_month', 'shipping_limit_date_day',
'shipping_limit_date_int_hour', 'shipping_limit_date_is_weekday',
'shipping_limit_date_is_weekend'],
dtype='object')
df_raw.dtypes
order_status object customer_city object customer_state object price float64 freight_value float64 payment_sequential int64 payment_type object payment_installments int64 payment_value float64 product_name_lenght float64 product_description_lenght float64 product_photos_qty float64 product_weight_g float64 product_length_cm float64 product_height_cm float64 product_width_cm float64 seller_city object seller_state object product_category_name_english object order_purchase_timestamp_year int64 order_purchase_timestamp_month int64 order_purchase_timestamp_day int64 order_purchase_timestamp_int_hour int64 order_purchase_timestamp_is_weekday int64 order_purchase_timestamp_is_weekend bool order_approved_at_year float64 order_approved_at_month float64 order_approved_at_day float64 order_approved_at_int_hour float64 order_approved_at_is_weekday float64 order_approved_at_is_weekend bool order_delivered_carrier_date_year float64 order_delivered_carrier_date_month float64 order_delivered_carrier_date_day float64 order_delivered_carrier_date_int_hour float64 order_delivered_carrier_date_is_weekday float64 order_delivered_carrier_date_is_weekend bool order_delivered_customer_date_year float64 order_delivered_customer_date_month float64 order_delivered_customer_date_day float64 order_delivered_customer_date_int_hour float64 order_delivered_customer_date_is_weekday float64 order_delivered_customer_date_is_weekend bool order_estimated_delivery_date_year int64 order_estimated_delivery_date_month int64 order_estimated_delivery_date_day int64 order_estimated_delivery_date_int_hour int64 order_estimated_delivery_date_is_weekday int64 order_estimated_delivery_date_is_weekend bool shipping_limit_date_year int64 shipping_limit_date_month int64 shipping_limit_date_day int64 shipping_limit_date_int_hour int64 shipping_limit_date_is_weekday int64 shipping_limit_date_is_weekend bool dtype: object
#converting bool type columns to bool
df_raw['order_purchase_timestamp_is_weekday'] = df_raw.order_purchase_timestamp_is_weekday.astype(bool)
df_raw['order_approved_at_is_weekday'] = df_raw.order_approved_at_is_weekday.astype(bool)
df_raw['order_delivered_carrier_date_is_weekday'] = df_raw.order_delivered_carrier_date_is_weekday.astype(bool)
df_raw['order_delivered_customer_date_is_weekday'] = df_raw.order_delivered_customer_date_is_weekday.astype(bool)
df_raw['order_estimated_delivery_date_is_weekday'] = df_raw.order_estimated_delivery_date_is_weekday.astype(bool)
df_raw['shipping_limit_date_is_weekday'] = df_raw.shipping_limit_date_is_weekday.astype(bool)
#dropping few columns
df_raw.drop(['customer_city','seller_city','product_category_name_english'], axis=1, inplace=True)
df_raw.dropna(axis=0,inplace=True)
#splitting into categorical and numerical columns
categorical_df = df_raw.select_dtypes(include=[object,bool])
categorical_df.head()
| order_status | customer_state | payment_type | seller_state | order_purchase_timestamp_is_weekday | order_purchase_timestamp_is_weekend | order_approved_at_is_weekday | order_approved_at_is_weekend | order_delivered_carrier_date_is_weekday | order_delivered_carrier_date_is_weekend | order_delivered_customer_date_is_weekday | order_delivered_customer_date_is_weekend | order_estimated_delivery_date_is_weekday | order_estimated_delivery_date_is_weekend | shipping_limit_date_is_weekday | shipping_limit_date_is_weekend | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | delivered | SP | credit_card | SP | False | False | False | False | True | False | True | False | True | False | True | False |
| 1 | delivered | SP | voucher | SP | False | False | False | False | True | False | True | False | True | False | True | False |
| 2 | delivered | SP | voucher | SP | False | False | False | False | True | False | True | False | True | False | True | False |
| 3 | delivered | SP | credit_card | SP | True | False | True | False | True | False | True | False | False | False | False | False |
| 4 | delivered | SP | credit_card | SP | True | False | True | False | True | False | False | False | True | False | True | False |
numerical_df = df_raw.select_dtypes(include=np.number)
numerical_df.head()
| price | freight_value | payment_sequential | payment_installments | payment_value | product_name_lenght | product_description_lenght | product_photos_qty | product_weight_g | product_length_cm | ... | order_delivered_customer_date_day | order_delivered_customer_date_int_hour | order_estimated_delivery_date_year | order_estimated_delivery_date_month | order_estimated_delivery_date_day | order_estimated_delivery_date_int_hour | shipping_limit_date_year | shipping_limit_date_month | shipping_limit_date_day | shipping_limit_date_int_hour | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 29.99 | 8.72 | 1 | 1 | 18.12 | 40.0 | 268.0 | 4.0 | 500.0 | 19.0 | ... | 10.0 | 21.0 | 2017 | 10 | 18 | 0 | 2017 | 10 | 6 | 11 |
| 1 | 29.99 | 8.72 | 3 | 1 | 2.00 | 40.0 | 268.0 | 4.0 | 500.0 | 19.0 | ... | 10.0 | 21.0 | 2017 | 10 | 18 | 0 | 2017 | 10 | 6 | 11 |
| 2 | 29.99 | 8.72 | 2 | 1 | 18.59 | 40.0 | 268.0 | 4.0 | 500.0 | 19.0 | ... | 10.0 | 21.0 | 2017 | 10 | 18 | 0 | 2017 | 10 | 6 | 11 |
| 3 | 29.99 | 7.78 | 1 | 3 | 37.77 | 40.0 | 268.0 | 4.0 | 500.0 | 19.0 | ... | 18.0 | 14.0 | 2017 | 8 | 28 | 0 | 2017 | 8 | 21 | 20 |
| 4 | 29.99 | 7.78 | 1 | 1 | 37.77 | 40.0 | 268.0 | 4.0 | 500.0 | 19.0 | ... | 7.0 | 18.0 | 2017 | 8 | 15 | 0 | 2017 | 8 | 8 | 18 |
5 rows × 36 columns
#scaling the dataframe
scaler = StandardScaler()
scaled_numerical_df = pd.DataFrame(scaler.fit_transform(numerical_df), columns = numerical_df.columns)
scaled_numerical_df.head()
| price | freight_value | payment_sequential | payment_installments | payment_value | product_name_lenght | product_description_lenght | product_photos_qty | product_weight_g | product_length_cm | ... | order_delivered_customer_date_day | order_delivered_customer_date_int_hour | order_estimated_delivery_date_year | order_estimated_delivery_date_month | order_estimated_delivery_date_day | order_estimated_delivery_date_int_hour | shipping_limit_date_year | shipping_limit_date_month | shipping_limit_date_day | shipping_limit_date_int_hour | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -0.493509 | -0.717581 | -0.131864 | -0.699297 | -0.578081 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | -0.694109 | 0.927059 | -1.184199 | 1.193896 | 0.257546 | 0.0 | -1.096943 | 1.205620 | -1.156075 | -0.257424 |
| 1 | -0.493509 | -0.717581 | 2.800184 | -0.699297 | -0.638552 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | -0.694109 | 0.927059 | -1.184199 | 1.193896 | 0.257546 | 0.0 | -1.096943 | 1.205620 | -1.156075 | -0.257424 |
| 2 | -0.493509 | -0.717581 | 1.334160 | -0.699297 | -0.576318 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | -0.694109 | 0.927059 | -1.184199 | 1.193896 | 0.257546 | 0.0 | -1.096943 | 1.205620 | -1.156075 | -0.257424 |
| 3 | -0.493509 | -0.777251 | -0.131864 | 0.020688 | -0.504369 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.228643 | -0.428860 | -1.184199 | 0.552855 | 1.398667 | 0.0 | -1.096943 | 0.582597 | 0.577748 | 1.100710 |
| 4 | -0.493509 | -0.777251 | -0.131864 | -0.699297 | -0.504369 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | -1.040141 | 0.345951 | -1.184199 | 0.552855 | -0.084790 | 0.0 | -1.096943 | 0.582597 | -0.924898 | 0.798902 |
5 rows × 36 columns
categorical_df.isna().any()
order_status False customer_state False payment_type False seller_state False order_purchase_timestamp_is_weekday False order_purchase_timestamp_is_weekend False order_approved_at_is_weekday False order_approved_at_is_weekend False order_delivered_carrier_date_is_weekday False order_delivered_carrier_date_is_weekend False order_delivered_customer_date_is_weekday False order_delivered_customer_date_is_weekend False order_estimated_delivery_date_is_weekday False order_estimated_delivery_date_is_weekend False shipping_limit_date_is_weekday False shipping_limit_date_is_weekend False dtype: bool
scaled_numerical_df.isna().any()
price False freight_value False payment_sequential False payment_installments False payment_value False product_name_lenght False product_description_lenght False product_photos_qty False product_weight_g False product_length_cm False product_height_cm False product_width_cm False order_purchase_timestamp_year False order_purchase_timestamp_month False order_purchase_timestamp_day False order_purchase_timestamp_int_hour False order_approved_at_year False order_approved_at_month False order_approved_at_day False order_approved_at_int_hour False order_delivered_carrier_date_year False order_delivered_carrier_date_month False order_delivered_carrier_date_day False order_delivered_carrier_date_int_hour False order_delivered_customer_date_year False order_delivered_customer_date_month False order_delivered_customer_date_day False order_delivered_customer_date_int_hour False order_estimated_delivery_date_year False order_estimated_delivery_date_month False order_estimated_delivery_date_day False order_estimated_delivery_date_int_hour False shipping_limit_date_year False shipping_limit_date_month False shipping_limit_date_day False shipping_limit_date_int_hour False dtype: bool
#onehot encoding the categorical df
encoded_categorical_df = pd.get_dummies(categorical_df)
encoded_categorical_df.head()
| order_purchase_timestamp_is_weekday | order_purchase_timestamp_is_weekend | order_approved_at_is_weekday | order_approved_at_is_weekend | order_delivered_carrier_date_is_weekday | order_delivered_carrier_date_is_weekend | order_delivered_customer_date_is_weekday | order_delivered_customer_date_is_weekend | order_estimated_delivery_date_is_weekday | order_estimated_delivery_date_is_weekend | ... | seller_state_PE | seller_state_PI | seller_state_PR | seller_state_RJ | seller_state_RN | seller_state_RO | seller_state_RS | seller_state_SC | seller_state_SE | seller_state_SP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | False | False | False | False | True | False | True | False | True | False | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 1 | False | False | False | False | True | False | True | False | True | False | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 2 | False | False | False | False | True | False | True | False | True | False | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 3 | True | False | True | False | True | False | True | False | False | False | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 4 | True | False | True | False | True | False | False | False | True | False | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
5 rows × 67 columns
encoded_categorical_df.isna().any()
order_purchase_timestamp_is_weekday False order_purchase_timestamp_is_weekend False order_approved_at_is_weekday False order_approved_at_is_weekend False order_delivered_carrier_date_is_weekday False order_delivered_carrier_date_is_weekend False order_delivered_customer_date_is_weekday False order_delivered_customer_date_is_weekend False order_estimated_delivery_date_is_weekday False order_estimated_delivery_date_is_weekend False shipping_limit_date_is_weekday False shipping_limit_date_is_weekend False order_status_canceled False order_status_delivered False customer_state_AC False customer_state_AL False customer_state_AM False customer_state_AP False customer_state_BA False customer_state_CE False customer_state_DF False customer_state_ES False customer_state_GO False customer_state_MA False customer_state_MG False customer_state_MS False customer_state_MT False customer_state_PA False customer_state_PB False customer_state_PE False customer_state_PI False customer_state_PR False customer_state_RJ False customer_state_RN False customer_state_RO False customer_state_RR False customer_state_RS False customer_state_SC False customer_state_SE False customer_state_SP False customer_state_TO False payment_type_boleto False payment_type_credit_card False payment_type_debit_card False payment_type_voucher False seller_state_AM False seller_state_BA False seller_state_CE False seller_state_DF False seller_state_ES False seller_state_GO False seller_state_MA False seller_state_MG False seller_state_MS False seller_state_MT False seller_state_PA False seller_state_PB False seller_state_PE False seller_state_PI False seller_state_PR False seller_state_RJ False seller_state_RN False seller_state_RO False seller_state_RS False seller_state_SC False seller_state_SE False seller_state_SP False dtype: bool
scaled_numerical_df.isna().any()
price False freight_value False payment_sequential False payment_installments False payment_value False product_name_lenght False product_description_lenght False product_photos_qty False product_weight_g False product_length_cm False product_height_cm False product_width_cm False order_purchase_timestamp_year False order_purchase_timestamp_month False order_purchase_timestamp_day False order_purchase_timestamp_int_hour False order_approved_at_year False order_approved_at_month False order_approved_at_day False order_approved_at_int_hour False order_delivered_carrier_date_year False order_delivered_carrier_date_month False order_delivered_carrier_date_day False order_delivered_carrier_date_int_hour False order_delivered_customer_date_year False order_delivered_customer_date_month False order_delivered_customer_date_day False order_delivered_customer_date_int_hour False order_estimated_delivery_date_year False order_estimated_delivery_date_month False order_estimated_delivery_date_day False order_estimated_delivery_date_int_hour False shipping_limit_date_year False shipping_limit_date_month False shipping_limit_date_day False shipping_limit_date_int_hour False dtype: bool
#concatinating the dataframes
df_processed_3 = pd.concat([scaled_numerical_df, encoded_categorical_df], axis=1)
df_processed_3.head()
| price | freight_value | payment_sequential | payment_installments | payment_value | product_name_lenght | product_description_lenght | product_photos_qty | product_weight_g | product_length_cm | ... | seller_state_PE | seller_state_PI | seller_state_PR | seller_state_RJ | seller_state_RN | seller_state_RO | seller_state_RS | seller_state_SC | seller_state_SE | seller_state_SP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -0.493509 | -0.717581 | -0.131864 | -0.699297 | -0.578081 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 1 | -0.493509 | -0.717581 | 2.800184 | -0.699297 | -0.638552 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 2 | -0.493509 | -0.717581 | 1.334160 | -0.699297 | -0.576318 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 3 | -0.493509 | -0.777251 | -0.131864 | 0.020688 | -0.504369 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 4 | -0.493509 | -0.777251 | -0.131864 | -0.699297 | -0.504369 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
5 rows × 103 columns
df_processed_3.dropna(axis=0,inplace=True)
df_processed_3.head()
| price | freight_value | payment_sequential | payment_installments | payment_value | product_name_lenght | product_description_lenght | product_photos_qty | product_weight_g | product_length_cm | ... | seller_state_PE | seller_state_PI | seller_state_PR | seller_state_RJ | seller_state_RN | seller_state_RO | seller_state_RS | seller_state_SC | seller_state_SE | seller_state_SP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -0.493509 | -0.717581 | -0.131864 | -0.699297 | -0.578081 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 1 | -0.493509 | -0.717581 | 2.800184 | -0.699297 | -0.638552 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 2 | -0.493509 | -0.717581 | 1.334160 | -0.699297 | -0.576318 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 3 | -0.493509 | -0.777251 | -0.131864 | 0.020688 | -0.504369 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 4 | -0.493509 | -0.777251 | -0.131864 | -0.699297 | -0.504369 | -0.878411 | -0.795365 | 1.040958 | -0.427136 | -0.698123 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
5 rows × 103 columns
#finding the no of cluster using elbow method
clustering_score = []
for i in range(1, 11):
kmeans = KMeans(n_clusters = i, init = 'random', random_state = 42)
kmeans.fit(df_processed_3)
clustering_score.append(kmeans.inertia_) # inertia_ = Sum of squared distances of samples to their closest cluster center.
plt.figure(figsize=(10,6))
plt.plot(range(1, 11), clustering_score)
plt.scatter(5,clustering_score[4], s = 200, c = 'red', marker='*')
plt.title('The Elbow Method')
plt.xlabel('No. of Clusters')
plt.ylabel('Clustering Score')
plt.show()
As per elbow method, the number of clusters to be set is 5.
Best_KMeans = KMeans(n_clusters = 5, init = 'random', random_state = 42)
cluster_no = Best_KMeans.fit_predict(df_processed_3)
cluster_no_df = pd.DataFrame(cluster_no,columns = ['cluster_no'])
from sklearn.manifold import TSNE
tsne = TSNE(n_components=2, random_state=66)
df_tsne = tsne.fit_transform(df_processed_3)
plt.figure(figsize=(13,10 ))
plt.scatter(df_tsne[:, 0], df_tsne[:, 1],c=cluster_no, cmap="jet")
plt.axis('off')
plt.colorbar()
plt.show()
Above is the scatter plot of the clusters plotted using TSNE. It is a tool to visualize high-dimensional data. It converts similarities between data points to joint probabilities and tries to minimize the Kullback-Leibler divergence between the joint probabilities of the low-dimensional embedding and the high-dimensional data. t-SNE has a cost function that is not convex, i.e. with different initializations we can get different results.
It is highly recommended to use another dimensionality reduction method (e.g. PCA for dense data or TruncatedSVD for sparse data) to reduce the number of dimensions to a reasonable amount (e.g. 50) if the number of features is very high. This will suppress some noise and speed up the computation of pairwise distances between samples.
#dimensionality reduction through PCA
from sklearn.decomposition import PCA
pca = PCA(n_components=3)
df_pca = pca.fit_transform(df_processed_3)
df_pca = pd.DataFrame(df_pca, columns=['pc1', 'pc2', 'pc3'])
print(pca.explained_variance_ratio_)
[0.22603211 0.0869163 0.07043576]
Density-Based Spatial Clustering of Applications with Noise. Finds core samples of high density and expands clusters from them. Good for data which contains clusters of similar density.
#finding the optimal epsilon_value and minimum_samples based on silhouette score
pca_eps_values = np.arange(0.5,1.2,0.1)
pca_min_samples = np.arange(7,10)
pca_dbscan_params = list(itertools.product(pca_eps_values, pca_min_samples))
pca_no_of_clusters = []
pca_sil_score = []
pca_epsvalues = []
pca_min_samp = []
for p in pca_dbscan_params:
pca_dbscan_cluster = DBSCAN(eps=p[0], min_samples=p[1]).fit(df_pca)
pca_epsvalues.append(p[0])
pca_min_samp.append(p[1])
pca_no_of_clusters.append(len(np.unique(pca_dbscan_cluster.labels_)))
pca_sil_score.append(silhouette_score(df_pca, pca_dbscan_cluster.labels_))
pca_eps_min = list(zip(pca_no_of_clusters, pca_sil_score, pca_epsvalues, pca_min_samp))
pca_eps_min_df = pd.DataFrame(pca_eps_min, columns=['no_of_clusters', 'silhouette_score', 'epsilon_values', 'minimum_points'])
pca_eps_min_df
| no_of_clusters | silhouette_score | epsilon_values | minimum_points | |
|---|---|---|---|---|
| 0 | 24 | 0.105142 | 0.4 | 7 |
| 1 | 17 | 0.123915 | 0.4 | 8 |
| 2 | 14 | 0.097707 | 0.4 | 9 |
| 3 | 21 | 0.143680 | 0.5 | 7 |
| 4 | 18 | 0.143753 | 0.5 | 8 |
| 5 | 14 | 0.134428 | 0.5 | 9 |
| 6 | 16 | 0.126891 | 0.6 | 7 |
| 7 | 16 | 0.110730 | 0.6 | 8 |
| 8 | 15 | 0.115945 | 0.6 | 9 |
| 9 | 10 | 0.149489 | 0.7 | 7 |
| 10 | 12 | 0.151028 | 0.7 | 8 |
| 11 | 13 | 0.149346 | 0.7 | 9 |
| 12 | 11 | 0.149942 | 0.8 | 7 |
| 13 | 9 | 0.149567 | 0.8 | 8 |
| 14 | 9 | 0.151243 | 0.8 | 9 |
| 15 | 7 | 0.455898 | 0.9 | 7 |
| 16 | 6 | 0.455316 | 0.9 | 8 |
| 17 | 6 | 0.455302 | 0.9 | 9 |
| 18 | 7 | 0.455646 | 1.0 | 7 |
| 19 | 7 | 0.455613 | 1.0 | 8 |
| 20 | 5 | 0.457394 | 1.0 | 9 |
| 21 | 8 | 0.455840 | 1.1 | 7 |
| 22 | 6 | 0.455830 | 1.1 | 8 |
| 23 | 5 | 0.457271 | 1.1 | 9 |
| 24 | 7 | 0.372025 | 1.2 | 7 |
| 25 | 5 | 0.372024 | 1.2 | 8 |
| 26 | 5 | 0.372057 | 1.2 | 9 |
| 27 | 5 | 0.384466 | 1.3 | 7 |
| 28 | 5 | 0.384267 | 1.3 | 8 |
| 29 | 4 | 0.384293 | 1.3 | 9 |
| 30 | 6 | 0.384540 | 1.4 | 7 |
| 31 | 5 | 0.384709 | 1.4 | 8 |
| 32 | 5 | 0.384261 | 1.4 | 9 |
#fitting dbscan with 1.0 as epsilon and 9 as min_samples
db = DBSCAN(eps=1.0, min_samples=9).fit(df_pca)
labels = db.labels_
# Number of clusters in labels, ignoring noise if present.
n_clusters_ = len(set(labels)) - (1 if -1 in labels else 0)
n_noise_ = list(labels).count(-1)
print('Estimated number of clusters: %d' % n_clusters_)
print('Estimated number of noise points: %d' % n_noise_)
print("Silhouette Coefficient: %0.3f" % silhouette_score(df_pca, labels))
Estimated number of clusters: 4 Estimated number of noise points: 117 Silhouette Coefficient: 0.457
#3d scatter plot of dbscan clusters from PCA
Scene = dict(xaxis = dict(title = 'PC1'),yaxis = dict(title = 'PC2'),zaxis = dict(title = 'PC3'))
labels = db.labels_
trace = go.Scatter3d(x=df_pca.iloc[:,0], y=df_pca.iloc[:,1], z=df_pca.iloc[:,2], mode='markers',marker=dict(color = labels, colorscale='Viridis', size = 10, line = dict(color = 'gray',width = 5)))
layout = go.Layout(scene = Scene, height = 1000,width = 1000)
data = [trace]
fig = go.Figure(data = data, layout = layout)
fig.update_layout(title='DBSCAN clusters (4) Derived from PCA', font=dict(size=12,))
fig.show()
Above is the scatter 3d plot constructed using Plotly which shows the 4 clusters and noise(purple markers) scattered across the axes.